Computing Surveys (CSUR)

Latest Articles

Systematic Review of Software Behavioral Model Consistency Checking

In software development, models are often used to represent multiple views of the same system. Such models need to be properly related to each other... (more)

Changes as First-Class Citizens

Software must evolve to keep up with an ever-changing context, the real world. We discuss an emergent trend in software evolution research revolving around the central notion that drives evolution: Change. By reifying change, and by modelling it as a first-class entity, researchers can now analyse the complex phenomenon known as software evolution... (more)

Online Algorithms with Advice

In online scenarios requests arrive over time, and each request must be serviced in an irrevocable manner before the next request arrives. Online algorithms with advice is an area of research where one attempts to measure how much knowledge of future requests is necessary to achieve a given performance level, as defined by the competitive ratio.... (more)

Deep Learning Advances in Computer Vision with 3D Data

Deep learning has recently gained popularity achieving state-of-the-art performance in tasks involving text, sound, or image processing. Due to its... (more)

Imitation Learning

Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by learning a mapping between observations and actions. The idea of teaching by imitation has been around for many years; however, the field is gaining attention recently due to advances in... (more)

Spatio-Temporal Analysis of Team Sports

Team-based invasion sports such as football, basketball, and hockey are similar in the sense that the players are able to move freely around the playing area and that player and team performance cannot be fully analysed without considering the movements and interactions of all players as a group. State-of-the-art object tracking systems now produce... (more)

A Survey on Ensemble Learning for Data Stream Classification

Ensemble-based methods are among the most widely used techniques for data stream classification. Their popularity is attributable to their good... (more)

A Survey and Comparative Study of Hard and Soft Real-Time Dynamic Resource Allocation Strategies for Multi-/Many-Core Systems

Multi-/many-core systems are envisioned to satisfy the ever-increasing performance requirements of... (more)

Current State of Text Sentiment Analysis from Opinion to Emotion Mining

Sentiment analysis from text consists of extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of... (more)

A Taxonomy and Survey of Cloud Resource Orchestration Techniques

Cloud services and applications prove indispensable amid today’s modern utility-based computing. The cloud has displayed a disruptive and... (more)

A Survey of Techniques for Cache Partitioning in Multicore Processors

As the number of on-chip cores and memory demands of applications increase, judicious management of cache resources has become not merely attractive... (more)

Simulation and Experimentation Platforms for Underwater Acoustic Sensor Networks

Ocean and water basically cover the major parts of our planet. To obtain the best utilization of the underlying resources on these parts of the Earth,... (more)


About CSUR

ACM Computing Surveys (CSUR) publishes comprehensive, readable tutorials and survey papers that give guided tours through the literature and explain topics to those who seek to learn the basics of areas outside their specialties. These carefully planned and presented introductions are also an excellent way for professionals to develop perspectives on, and identify trends in complex technologies. Recent issues have covered image understanding, software reusability, and object and relational database topics. 

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Forthcoming Articles
Arabic Online Handwriting Recognition (AOHR): A Survey

This article comprehensively surveys Arabic Online Handwriting Recognition (AOHR). We address the challenges posed by online handwriting recognition including ligatures, dots and diacritic problems, online/offline touching of text, and geometric variations. Then, we present a general model of AOHR system that incorporates the different phases of an AOHR system. We summarize the main AOHR databases and identify their uses and limitations. Preprocessing techniques that are used in AOHR, viz. normalization, smoothing, de-hooking, baseline identification, and delayed stroke processing, are presented with illustrative examples. We discuss different techniques for Arabic online handwriting segmentation at the character and morpheme levels and identify their limitations. Feature extraction techniques that are used in AOHR are discussed and their challenges identified. We address the classification techniques of non-cursive (characters and digits) and cursive Arabic online handwriting and analyze their applications. We discuss different classification techniques, viz. structural approaches, SVM, Fuzzy SVM, Neural Networks, HMM, Genetic algorithms, decision trees, and rule-based systems, and analyze their performance. Post-processing techniques are also discussed. Several tables that summarize the surveyed publications are provided for ease of reference and comparison. In the conclusions, we summarize the current limitations and difficulties of AOHR, and future directions of research.

Data Science: A Comprehensive Overview

The twenty-first century has ushered in the age of data economy, in which data DNA becomes an intrinsic constituent of all data-based organisms and carries important knowledge and insights. An appropriate understanding of data DNA and their organisms relies on a new field: data science and its keystone analytics. Although it is widely debated whether big data is a hype and buzz and data science is at its very early phase, significant challenges and opportunities are emerging or inspired from the research, innovation, business and education of data science and analytics. This paper provides a comprehensive survey and tutorial of fundamental aspects of data science and analytics: the evolution from data analysis to data science, the data science concepts, a big picture of the era of data science, major challenges and directions in data innovation, the nature of data analytics, new industrialization and service opportunities in data economy, profession and competency of data education, and typical pitfalls in data science. This article serves as the first in the field to draw a comprehensive big picture, in addition to rich observations, lessons and thinking about data science and analytics.

Analysis of JavaScript Programs: Challenges and Research Trends

JavaScript has been a de facto standard language for client-side web programs, and now it is expanding its territory to general purpose programs including compilers and games. In this paper, we classify the JavaScript research for last 10 or so years into 6 topics: formalization and reasoning, type safety and JIT optimization, security for web applications, static analysis, dynamic analysis, and empirical studies. We then evaluate research trends in the static analysis topic: extending analysis scope; improving analysis precision, scalability, and usability; and broadening analysis applications. Finally, we discuss possible future research directions with open challenges.

Foundations of Modern Graph Query Languages

We survey foundational features underlying modern graph query languages. We first discuss two popular graph data models: edge-labelled graphs, where nodes are connected to other nodes by directed, labelled edges; and property graphs, where nodes and edges can have attributes. Next we discuss the two most basic graph querying functionalities: graph patterns and navigational expressions. We start with graph patterns, in which a graph-structured query is matched against the data. Thereafter we discuss navigational expressions, in which patterns can be matched recursively against the graph to navigate paths of arbitrary length; we give an overview of what kinds of expressions have been proposed, and how such expressions can be combined with graph patterns. We also discuss a variety of semantics under which queries using the previous features can be evaluated, what effects the introduction of additional features and the selection of semantics has on complexity, as well as offering examples of said features in three modern languages that can be used to query graphs: SPARQL, Cypher and Gremlin. We conclude with discussion of the importance of formalisation for graph query languages, as well as possible future directions in which such languages can be extended.

Automated Vehicle Detection and Classification: Models, Methods, and Techniques

Automated Vehicle Classification (AVC) based on vision sensors has received active attention from researchers, due to heightened security concerns in Intelligent Transportation Systems. In this work, we propose a categorization of AVC studies based on the granularity of classification, namely Vehicle Type Recognition (VTR), Vehicle Make Recognition (VMR) and Vehicle Make and Model Recognition (VMMR). For each category of AVC systems, we present a comprehensive review and comparison of features extraction, global representation, and classification techniques. The various datasets proposed over the years for AVC are also compared in light of the real-world challenges they represent, and those they do not. The major challenges involved in each category of AVC systems are presented, highlighting open problems in this area of research. Finally, we conclude by providing future directions of research in this area, paving the way towards efficient large-scale AVC systems. This survey shall help researchers interested in the area to analyze works completed so far in each category of AVC, focusing on techniques proposed for each module, and to chalk out strategies to enhance state-of-the-art technology.

A Survey on Post-silicon Functional Validation for Multicore Architectures

During a processor development cycle, validation is performed on the first fabricated chip to detect and fix design errors. Design errors due to functional issues occur when a unit in a design does not meet its specification. Their chances of occurrence are high when new features are added in a processor. Therefore, the task of verifying the functionality independently and in coordination with other units increases for multicore architectures. Several new techniques are being proposed in the field of functional validation. In this paper, we undertake a survey of these techniques to identify areas that need to be addressed for multicore designs. We start with an analysis of design errors in two multicore architectures. We then survey different functional validation techniques based on hardware, software and formal methods and propose a comprehensive taxonomy for each of these approaches. We also perform a critical analysis to identify gaps in existing research and propose new research directions for validation of multicore architectures.

Non GPS Positioning Systems: A Survey

An enormous amount of research has been conducted in the area of positioning systems and thus it calls for a detailed literature review of recent localization systems. This paper focuses on recent developments of non-Global Positioning System (GPS) localization/positioning systems. We have presented a new hierarchical method to classify various positioning systems. A comprehensive performance comparison of the techniques and technologies against multiple performance metrics along with the limitations is presented. A few indoor positioning systems have emerged as more successful in particular application environments than others, which are presented at the end.

Toward Real-Time Ray Tracing: A Survey on Hardware Acceleration and Microarchitecture Techniques

Ray tracing has long been considered as the next generation technology for graphics rendering. Recent years witnessed a strong momentum to adopt the ray tracing based rendering techniques on consumer level platforms due to the inability of further enhancing user experience by increasing display resolution. On the other hand, the computing workload of ray tracing is still overwhelming. A 10-fold performance gap has to be narrowed for real-time applications, even on the latest graphics processing units (GPUs). As a result, hardware acceleration techniques are critical to deliver a satisfying level performance, while at the same time meet an acceptable power budget. A large body of research on ray tracing hardware has been proposed over the past decade. This paper is aimed to provide a timely survey on hardware techniques to accelerate the ray tracing algorithm. A quantitative profiling on the ray tracing workload is first presented. We then review hardware techniques for the main functional blocks in a ray tracing pipeline. On such a basis, the ray tracing microarchitectures for both ASIC and processors are surveyed by following a systematic taxonomy.

Systems Applications of Social Networks

The aim of this article is to provide an understanding of social networks as a useful addition to the standard tool-box of techniques used by system designers. To this end, we give examples of how data about social links have been collected and used in different application contexts. We develop a broad taxonomy-based overview of common properties of social networks, review how they might be used in different applications, and point out potential pitfalls where appropriate. We propose a framework, distinguishing between two main types of social network-based user selection  personalised user selection which identifies target users who may be relevant for a given source node, using the social network around the source as a context, and generic user selection or group delimitation, which filters for a set of users who satisfy a set of application requirements based on their social properties. Using this framework, we survey applications of social networks in three typical kinds of application scenarios: recommender systems, content-sharing systems (e.g., P2P or video streaming), and systems which defend against users who abuse the system (e.g., spam or sybil attacks). In each case, we discuss potential directions for future research that involve using social network properties.

Survey of Naturalistic Programming Technologies

Programming languages expressiveness is limited by paradigm because it is focused on solving abstraction problems without considering expressiveness of abstractions described using natural language. So, authors have developed tools for natural language software development. In this paper, many works consisting of tools that use some natural language level and domain-specific languages that have an expressiveness level similar to natural languages are reviewed. The goal of the paper is to present a review and highlight the problems that were solved and those left aside. Also, it addresses the fact that a naturalistic language based on a model is not reported.

Searching the Web of Things: State of the Art, Challenges and Solutions

Technological advances allow more physical objects to connect to the Internet and provide their services on the Web as resources. Search engines are the key to fully utilize this emerging Web of Things, as they bridge users and applications with resources needed for their operation. Developing these systems is challenging due to the diversity of Web of Things resources that they work with. Each combination of resources in query resolution process requires a different type of search engine with its own technical challenges and usage scenarios. This diversity complicates both the development of new systems and assessment of the state of the art. In this article, we present a systematic survey on Web of Things Search Engines (WoTSE), focusing on the diversity in forms of these systems. We collect and analyze over 200 related academic works to build a flexible conceptual model for WoTSE. We develop an analytical framework on this model to review the development of the field and its current status, reflected by 30 representative works in the area. We conclude our survey with a discussion on open issues to bridge the gap between the existing progress and an ideal WoTSE.

A Classification of Locality in Network Research

Locality of information is a major concern for the design of distributed algorithms. With the LOCAL model, theoretical research already established a common model of locality that has gained little practical relevance. As a result, practical research de facto lacks any common locality model. The only common denominator among practitioners is that a local algorithm is distributed with a limited scope of interaction. This paper closes the gap by introducing four practically motivated classes of locality that successively weaken the strict requirements of the LOCAL model. These classes are applied to categorize and to survey 32 local algorithms from nine different application domains. A detailed comparison shows the practicality of the classification and provides interesting insights. For example, the majority of algorithms limit the scope of interaction to at most two hops, independent of their locality class. Moreover, the application domain of algorithms tends to influence their degree of locality.

Metrics for Community Analysis: A Survey

Detecting and analyzing dense groups or communities from social and information networks has attracted immense attention over last one decade due to its enormous applicability in different domains. Community detection is an ill-defined problem, as the nature of the communities is not known in advance. The problem has turned out to be even complicated due to the fact that communities emerge in the network in various forms - disjoint, overlapping, hierarchical etc. Various heuristics have been proposed depending upon the applications in hand. All these heuristics have been materialized in the form of new metrics, which in most cases are used as optimization functions for detecting the community structure, or provide an indication of the goodness of detected communities during evaluation. There arises a need for an organized and detailed survey of the metrics proposed with respect to community detection and evaluation. This paper presents a detailed discussion of the state-of-the-art metrics used for the detection and the evaluation of community structure. Finally, experiments are conducted on synthetic and real networks to present a comparative analysis of these metrics in measuring the goodness of the detected community structure.

A Survey of Algorithmic Debugging

Algorithmic debugging is a technique proposed in 1982 by E.Y. Shapiro in the context of logic programming. This survey shows how the initial ideas have been developed to become a widespread debugging schema fitting many different programming paradigms, and with applications out of the program debugging field. We describe the general framework and the main issues related to the implementations in different programming paradigms, and discuss several proposed improvements and optimizations. We also review the main algorithmic debugger tools that have been implemented so far and compare their features. From this comparison, we elaborate a summary of desirable characteristics that should be considered when implementing future algorithmic debuggers.

Automatic Software Repair: a Bibliography

This article presents an annotated bibliography on automatic software repair. Automatic software repair consists of automatically finding a solution to software bugs, without human intervention. The uniqueness of this article is that it spans the research communities that contribute to this body of knowledge: software engineering, dependability, operating systems, programming languages and security. Furthermore, it provides a novel and structured overview of the diversity of bug oracles and repair operators used in the literature.

A Survey of Dynamic Analysis and Test Generation for JavaScript

JavaScript has become one of the most prevalent programming languages. Unfortunately, some of the unique properties that contribute to this popularity also make JavaScript programs prone to errors and difficult for program analyses to reason about. These properties include the highly dynamic nature of the language, a set of unusual language features, a lack of encapsulation mechanisms, and the "no crash" philosophy. This paper surveys dynamic program analysis and test generation techniques for JavaScript targeted at improving the correctness, reliability, performance, security, and privacy of JavaScript-based software.

A Tutorial for Olfaction-based Multisensorial Media Application Design and Evaluation

Recently, multimedia researchers have added several so called new media to the traditional multimedia components (e.g. olfaction, haptic and gustation). The inclusion of such stimuli in addition to traditional media components is typically labeled as multiple sensorial media or mulsemedia. Capturing multimedia user perceived Quality of Experience (QoE) is already non-trivial and the addition of multiple sensorial media components increases this challenge. No standardized methodology exists to conduct subjective quality assessments of multiple sensorial media applications. To date researchers have employed different aspects of audiovisual standards to assess user QoE of multiple sensorial media applications and thus, a fragmented approach exists. In this paper, the authors highlight issues researchers face from numerous perspectives including applicability (or lack of) existing audio-visual standards to evaluate user QoE and lack of result comparability due to varying approaches, specific requirements of olfactory-based multiple sensorial media applications, and novelty associated with these applications. Finally, based on the diverse approaches in the literature and the collective experience of authors, this paper provides a tutorial and recommendations on the key steps to conduct olfactory-based multiple sensorial media QoE evaluation.

A Functional Taxonomy of Music Generation Systems

Digital advances have transformed the face of automatic music generation since its beginnings at the dawn of computing. Despite the many breakthroughs, issues such as the musical tasks targeted by different machines and the degree to which they succeed remain open questions. We present a functional taxonomy for music generation systems with reference to existing systems according to the purposes for which they were designed. The taxonomy also reveals the inter-relatedness among the systems. This design-centred approach contrasts with predominant methods-based surveys, and facilitates the identification of grand challenges so as to set the stage for new breakthroughs.


Publication Years 1969-2017
Publication Count 1612
Citation Count 49075
Available for Download 1612
Downloads (6 weeks) 21502
Downloads (12 Months) 201259
Downloads (cumulative) 3142035
Average downloads per article 1949
Average citations per article 30
First Name Last Name Award
El Saddik Abdulmotaleb ACM Distinguished Member (2010)
ACM Senior Member (2008)
Gregory Abowd ACM Eugene L. Lawler Award for Humanitarian Contributions within Computer Science and Informatics (2009)
ACM Senior Member (2008)
Nancy M Amato ACM Distinguished Member (2012)
Owen Astrachan ACM Karl V. Karlstrom Outstanding Educator Award (2016)
ACM Distinguished Member (2013)
David F Bacon ACM Distinguished Member (2006)
Ruzena R Bajcsy ACM Distinguished Service Award (2003)
ACM AAAI Allen Newell Award (2001)
Benjamin B Bederson ACM Distinguished Member (2011)
Fernando Berzal Galiano ACM Senior Member (2008)
Michael W Blasgen ACM Programming Systems and Languages Paper Award (1982)
Daniel Bobrow ACM Software System Award (1992)
ACM Programming Systems and Languages Paper Award (1974)
Eric A. Brewer ACM Prize in Computing (2009)
Peter Brusilovsky ACM Senior Member (2008)
Randal E Bryant ACM Paris Kanellakis Theory and Practice Award (1998)
Douglas C Burger ACM Distinguished Member (2008)
ACM Senior Member (2006)
Margaret Burnett ACM Distinguished Member (2015)
Rajkumar Buyya ACM Senior Member (2008)
Robert Cailliau ACM Software System Award (1995)
Murray S Campbell ACM Distinguished Member (2008)
Mario Cannataro ACM Senior Member (2009)
Godwin V Caruana ACM Senior Member (2013)
Carlos A. Castillo ACM Senior Member (2014)
Donald Chamberlin ACM Software System Award (1988)
Danny Z Chen ACM Distinguished Member (2014)
ACM Senior Member (2011)
Michael G Christel ACM Senior Member (2010)
Edmund Clarke ACM A. M. Turing Award (2007)
ACM Paris Kanellakis Theory and Practice Award (1998)
Ed Coffman ACM Distinguished Service Award (2004)
Outstanding Contribution to ACM Award (1987)
Tom Cormen ACM Distinguished Member (2009)
Fabio Crestani ACM Senior Member (2009)
Ernesto Damiani ACM Distinguished Member (2008)
David DeWitt ACM Software System Award (2008)
Alberto Del Bimbo ACM Distinguished Member (2016)
Peter J Denning Outstanding Contribution to ACM Award (1998)
ACM Karl V. Karlstrom Outstanding Educator Award (1996)
ACM Distinguished Service Award (1989)
ACM Programming Systems and Languages Paper Award (1971)
Jack Dennis ACM-IEEE CS Eckert-Mauchly Award (1984)
Steven J Derose ACM Senior Member (2007)
Matthew B Dwyer ACM Distinguished Member (2007)
David S Ebert ACM Senior Member (2009)
Carla S. Ellis ACM Distinguished Member (2009)
Ahmed Elmagarmid ACM Distinguished Member (2009)
Joel Emer ACM-IEEE CS Eckert-Mauchly Award (2009)
Douglas Engelbart ACM A. M. Turing Award (1997)
ACM Software System Award (1990)
Martin Erwig ACM Senior Member (2008)
Vladimir Estivill-Castro ACM Senior Member (2015)
Matthias Felleisen ACM Karl V. Karlstrom Outstanding Educator Award (2009)
Stephen Fink ACM Distinguished Member (2011)
ACM Senior Member (2008)
Michael J Flynn ACM-IEEE CS Eckert-Mauchly Award (1992)
Patrick J Flynn ACM Distinguished Member (2011)
ACM Senior Member (2009)
Stephanie Forrest ACM AAAI Allen Newell Award (2011)
Michael Franz ACM Distinguished Member (2006)
Benjamin Fung ACM Senior Member (2013)
David Garlan ACM Senior Member (2008)
Minos Garofalakis ACM Distinguished Member (2011)
ACM Senior Member (2009)
Garth A Gibson ACM Doctoral Dissertation Award
Series Winner (1991) ACM Doctoral Dissertation Award
Series Winner (1991)
Adele Goldberg ACM Software System Award (1987)
Michael T Goodrich ACM Distinguished Member (2006)
Goetz Graefe ACM Software System Award (2008)
Susan L Graham ACM-IEEE CS Ken Kennedy Award (2011)
ACM Distinguished Service Award (2006)
Jim Gray ACM A. M. Turing Award (1998)
ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
Cordell Green ACM Grace Murray Hopper Award (1985)
Barbara J Grosz ACM AAAI Allen Newell Award (2008)
Leonidas J Guibas ACM AAAI Allen Newell Award (2007)
Carl Gutwin ACM Distinguished Member (2015)
Wendy Hall Outstanding Contribution to ACM Award (2014)
Lynda Hardman ACM Distinguished Member (2014)
ACM Senior Member (2013)
Juris Hartmanis ACM Distinguished Service Award (2013)
ACM A. M. Turing Award (1993)
John L Hennessy ACM-IEEE CS Eckert-Mauchly Award (2001)
C. Antony R. Hoare ACM A. M. Turing Award (1980)
ACM Programming Systems and Languages Paper Award (1973)
Gerard J. Holzmann ACM Paris Kanellakis Theory and Practice Award (2005)
ACM Software System Award (2001)
Tiejun Huang ACM Senior Member (2013)
Ihab F. Ilyas ACM Distinguished Member (2014)
Michael I. Jordan ACM AAAI Allen Newell Award (2009)
Joaquim Jorge ACM Senior Member (2007)
Randy H. Katz ACM Karl V. Karlstrom Outstanding Educator Award (1999)
Lydia Kavraki ACM Athena Lecturer Award (2017)
ACM Grace Murray Hopper Award (2000)
Angelos Dennis Keromytis ACM Distinguished Member (2012)
ACM Senior Member (2007)
Won Kim ACM Distinguished Service Award (2001)
Jon Kleinberg ACM AAAI Allen Newell Award (2014)
ACM Prize in Computing (2008)
Craig Knoblock ACM Distinguished Member (2008)
Donald E Knuth ACM Software System Award (1986)
ACM A. M. Turing Award (1974)
ACM Grace Murray Hopper Award (1971)
Daphne Koller ACM Prize in Computing (2007)
David Kotz ACM Senior Member (2006)
David J Kuck ACM-IEEE CS Ken Kennedy Award (2010)
ACM-IEEE CS Eckert-Mauchly Award (1993)
Abraham Lempel ACM Paris Kanellakis Theory and Practice Award (1997)
George Lepouras ACM Senior Member (2008)
Nancy Leveson ACM AAAI Allen Newell Award (1999)
Bruce Lindsay ACM Programming Systems and Languages Paper Award (1982)
Yunhao Liu ACM Presidential Award (2013)
Javier Lopez ACM Senior Member (2012)
Raymond A Lorie ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
Alessio Malizia ACM Senior Member (2014)
Igor Markov ACM Distinguished Member (2011)
ACM Senior Member (2007)
Steven R. McCanne ACM Doctoral Dissertation Award (1997)
Paul R McJones ACM Programming Systems and Languages Paper Award (1982)
Tao Mei ACM Distinguished Member (2016)
ACM Senior Member (2012)
Panagiotis Takis Metaxas ACM Senior Member (2009)
Jack Minker ACM AAAI Allen Newell Award (2005)
Outstanding Contribution to ACM Award (1985)
Trevor Mudge ACM-IEEE CS Eckert-Mauchly Award (2014)
Yale N. Patt ACM Karl V. Karlstrom Outstanding Educator Award (2000)
ACM-IEEE CS Eckert-Mauchly Award (1996)
David Patterson ACM-IEEE CS Eckert-Mauchly Award (2008)
ACM Distinguished Service Award (2007)
ACM Karl V. Karlstrom Outstanding Educator Award (1991)
Randy Pausch ACM Karl V. Karlstrom Outstanding Educator Award (2007)
Judea Pearl ACM A. M. Turing Award (2011)
ACM AAAI Allen Newell Award (2003)
Ron Perrott ACM Distinguished Service Award (2015)
Frank Pfenning ACM Senior Member (2007)
Andre Platzer ACM Doctoral Dissertation Award
Honorable Mention (2009) ACM Doctoral Dissertation Award
Honorable Mention (2009)
Thomas G Price ACM Programming Systems and Languages Paper Award (1982)
Raj Reddy ACM A. M. Turing Award (1994)
John C Reynolds ACM Programming Systems and Languages Paper Award (1971)
Dirk Riehle ACM Senior Member (2008)
Eric S Roberts ACM Karl V. Karlstrom Outstanding Educator Award (2012)
Joel Jose Rodrigues ACM Senior Member (2011)
Saul Rosen ACM Distinguished Service Award (1984)
Barbara Gershon Ryder ACM Presidential Award (2008)
Rizos Sakellariou ACM Senior Member (2015)
Sherif Sakr ACM Senior Member (2017)
Hanan Samet ACM Paris Kanellakis Theory and Practice Award (2011)
Vijay Saraswat ACM Doctoral Dissertation Award (1989)
Mahadev Satyanarayanan ACM Software System Award (2016)
William L Scherlis ACM Senior Member (2009)
Marc Shapiro ACM Senior Member (2009)
Prashant J Shenoy ACM Distinguished Member (2009)
ACM Senior Member (2006)
Frank Shipman ACM Distinguished Member (2009)
Yoav Shoham ACM AAAI Allen Newell Award (2012)
Joseph Sifakis ACM A. M. Turing Award (2007)
Abraham Silberschatz ACM Karl V. Karlstrom Outstanding Educator Award (1998)
Kevin Skadron ACM Distinguished Member (2010)
ACM Senior Member (2007)
Jacob Slonim ACM Doctoral Dissertation Award (1980)
Richard T Snodgrass Outstanding Contribution to ACM Award (2004)
Diomidis Spinellis ACM Senior Member (2006)
Richard Stallman ACM Software System Award (2015)
ACM Grace Murray Hopper Award (1990)
John Stasko ACM Distinguished Member (2011)
ACM Senior Member (2011)
Giancarlo Succi ACM Senior Member (2008)
Subhash Suri ACM Distinguished Member (2007)
Ivan Sutherland ACM Software System Award (1993)
ACM A. M. Turing Award (1988)
Jeffrey Victor Sutherland ACM Senior Member (2009)
Andrew S. Tanenbaum ACM Karl V. Karlstrom Outstanding Educator Award (1994)
Robert W Taylor ACM Software System Award (1984)
Bent Thomsen ACM Senior Member (2016)
Irv Traiger ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
ACM Programming Systems and Languages Paper Award (1971)
Allen Tucker Outstanding Contribution to ACM Award (1991)
Jeffrey D Ullman ACM Karl V. Karlstrom Outstanding Educator Award (1997)
Mateo Valero ACM Distinguished Service Award (2012)
ACM-IEEE CS Eckert-Mauchly Award (2007)
Moshe Y Vardi ACM Presidential Award (2017)
Outstanding Contribution to ACM Award (2009)
ACM Presidential Award (2008)
ACM Paris Kanellakis Theory and Practice Award (2005)
Sebastian Ventura ACM Senior Member (2013)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
Yu Wang ACM Senior Member (2011)
Peter Wegner ACM Distinguished Service Award (2000)
Bruce W Weide ACM Senior Member (2009)
Edgar Weippl ACM Senior Member (2008)
John R. White ACM Presidential Award (2015)
Outstanding Contribution to ACM Award (1994)
Jennifer Widom ACM Athena Lecturer Award (2015)
Reinhard Wilhelm ACM Distinguished Service Award (2010)
Maurice V. Wilkes ACM-IEEE CS Eckert-Mauchly Award (1980)
ACM A. M. Turing Award (1967)
Jeannette M. Wing ACM Distinguished Service Award (2014)
Niklaus E Wirth ACM A. M. Turing Award (1984)
ACM Programming Systems and Languages Paper Award (1978)
Pierre Wolper ACM Paris Kanellakis Theory and Practice Award (2005)
Jie Wu ACM Senior Member (2006)
William A Wulf ACM Karl V. Karlstrom Outstanding Educator Award (2014)
ACM Distinguished Service Award (2011)
Qiang Yang ACM Distinguished Member (2011)
Bulent Yener ACM Senior Member (2013)
Feng Zhao ACM Distinguished Member (2006)
Yuanyuan Zhou ACM Distinguished Member (2011)
Albert Zomaya ACM Distinguished Member (2006)
Stuart Zweben Outstanding Contribution to ACM Award (1997)
Andries van Dam ACM Karl V. Karlstrom Outstanding Educator Award (1993)

First Name Last Name Paper Counts
Peter Denning 21
Adele Goldberg 18
William Dorn 9
Anthony Wasserman 8
Sparsh Mittal 7
Helen Ashman 6
Rachid Guerraoui 6
Andries Van Dam 6
Rajkumar Buyya 6
Peter Wegner 6
Jeffrey Vitter 5
Yannis Ioannidis 5
Jacques Cohen 5
Elliott Organick 5
Andrew Tanenbaum 5
Wendy Hall 4
Corrado Priami 4
Gonzalo Navarro 4
Albert Zomaya 4
James Fry 4
James Peterson 4
Pierpaolo Degano 4
Peter Lee 4
Rance Cleaveland 4
Fred Schneider 4
Jayadev Misra 4
Peter Wegner 4
Sameeullah Khan 4
Azriel Rosenfeld 4
Richard Muntz 4
Hanan Samet 4
Jens Palsberg 4
Narendra Ahuja 4
Brad Myers 4
Tamer Özsu 4
Gregory Andrews 4
Jeffrey Buzen 4
Luca Cardelli 4
Scott Smolka 4
Mohamed Fayad 4
Johnleslie King 3
Carlo Furia 3
Toby Teorey 3
Miroslaw Malek 3
David Schmidt 3
Robert Rosin 3
Charles Consel 3
Pankaj Agarwal 3
Nabil Adam 3
Abdullah Gani 3
Goetz Graefe 3
Avi Silberschatz 3
Ingrid Carlbom 3
David Lilja 3
Dick Bulterman 3
Leslie Carr 3
Michael Bieber 3
Robyn Kozierok 3
Mark Harman 3
Cristina Nita-Rotaru 3
Werner Retschitzegger 3
Alberto Pettorossi 3
Patrick Cousot 3
Chris Hankin 3
Thomas Dean 3
Jonathan Grudin 3
Maurizio Proietti 3
John Rice 3
John Stankovic 3
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Udo Pooch 3
Garth Gibson 3
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Bruce Weide 3
Michael Marcotty 3
Carl Gunter 2
Arun Ross 2
Victor Lesser 2
Douglas Comer 2
Clement Yu 2
Aristides Requicha 2
Zvi Galil* 2
David Maier 2
Guillaume Pierre 2
Pieter Hartel 2
William Stallings 2
Jan Heering 2
Carlo Batini 2
Renaud Marlet 2
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Michael Leuschel 2
Philip YU 2
Henry Korth 2
Ephraim Glinert 2
Tiziana Margaria 2
Philippe Codognet 2
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Mary Rosson 2
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Dino Mandrioli 2
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Martha Larson 2
Sigmund Gorski 2
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Patricia Lago 2
CÉcile Paris 2
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Marjan Mernik 2
Mark Truran 2
David Kotz 2
Zhiwen Yu 2
Thierry Lecroq 2
Hector Levesque 2
Claudio Carpineto 2
Richard Bird 2
Giuseppe Italiano 2
Mohammed Bennamoun 2
Jim Woodcock 2
Michael Hanus 2
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Fred Maryanski 2
Edward Reingold 2
John Hatcliff 2
William Wulf 2
Charles Fischer 2
Chittoor Ramamoorthy 2
Allen Tucker 2
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Lynette Hirschman 2
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Niki Pissinou 2
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Lawrence Dowdy 2
Derrell Foster 2
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Zhiqiang Lin 2
Thomas Dietterich 2
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William Smyth 2
Luke Hornof 2
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Dana Angluin 2
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H Li 2
James Foley 2
Malvin Kalos 2
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Inderveer Chana 2
Andreas Bulling 2
Andrzej Jajszczyk 2
Jacco Van Ossenbruggen 1
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Subject index 1
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