ACM SIGSOFT Intl. Symposium on Software Testing and Analysis, ISSTA 2015


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
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Systematic execution of Android test suites in adverse conditions

Christoffer Quist Adamsen, Gianluca Mezzetti, Anders Møller

Systematic execution of Android test suites in adverse conditions

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Proactive detection of inadequate diagnostic messages for software configuration errors

Sai Zhang, Michael D. Ernst

Proactive detection of inadequate diagnostic messages for software configuration errors

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ConcBugAssist: constraint solving for diagnosis and repair of concurrency bugs

Sepideh Khoshnood, Markus Kusano, Chao Wang

ConcBugAssist: constraint solving for diagnosis and repair of concurrency bugs

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Reliability assessment for distributed systems via communication abstraction and refinement

Lin Gui, Jun Sun, Yang Liu, Jin Song Dong

Reliability assessment for distributed systems via communication abstraction and refinement

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Optimizing selection of competing features via feedback-directed evolutionary algorithms

Tian Huat Tan, Yinxing Xue, Manman Chen, Jun Sun, Yang Liu, Jin Song Dong

Optimizing selection of competing features via feedback-directed evolutionary algorithms

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Automating performance bottleneck detection using search-based application profiling

Du Shen, Qi Luo, Denys Poshyvanyk, Mark Grechanik

Automating performance bottleneck detection using search-based application profiling

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When truth is efficient: analysing concurrency

Ganesh Narayanaswamy

When truth is efficient: analysing concurrency

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Making your crashes work for you (doctoral symposium)

Peter Ohmann

Making your crashes work for you (doctoral symposium)

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Scalable and precise taint analysis for Android

Wei Huang, Yao Dong, Ana Milanova, Julian Dolby

Scalable and precise taint analysis for Android

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Cost-aware combinatorial interaction testing (doctoral symposium)

Gülsen Demiröz

Cost-aware combinatorial interaction testing (doctoral symposium)

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Author Comments: Related publications as future work of this paper: - https://ieeexplore.ieee.org/document/7528945/ - https://www.sciencedirect.com/science/article/pii/S1568494616304161
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Collaborative testing across shared software components (doctoral symposium)

Teng Long

Collaborative testing across shared software components (doctoral symposium)

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Calculation coverage testing in scientific applications

Yoshiki Sato, Shumpei Hozumi, Shigeru Chiba

Calculation coverage testing in scientific applications

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Reusing constraint proofs in program analysis

Andrea Aquino, Francesco A. Bianchi, Meixian Chen, Giovanni Denaro, Mauro Pezzè

Reusing constraint proofs in program analysis

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Dynamic detection of inter-application communication vulnerabilities in Android

Roee Hay, Omer Tripp, Marco Pistoia

Dynamic detection of inter-application communication vulnerabilities in Android

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Scalable program analysis through proof caching (doctoral symposium)

Andrea Aquino

Scalable program analysis through proof caching (doctoral symposium)

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TSTL: a language and tool for testing (demo)

Alex Groce, Jervis Pinto, Pooria Azimi, Pranjal Mittal

TSTL: a language and tool for testing (demo)

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RTCM: a natural language based, automated, and practical test case generation framework

Tao Yue, Shaukat Ali, Man Zhang

RTCM: a natural language based, automated, and practical test case generation framework

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Automatic generation of system test cases from use case specifications

Chunhui Wang, Fabrizio Pastore, Arda Goknil, Lionel C. Briand, Muhammad Zohaib Z. Iqbal

Automatic generation of system test cases from use case specifications

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CanaryAdvisor: a statistical-based tool for canary testing (demo)

Alexander Tarvo, Peter F. Sweeney, Nick Mitchell, V. T. Rajan, Matthew Arnold, Ioana Baldini

CanaryAdvisor: a statistical-based tool for canary testing (demo)

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Practical regression test selection with dynamic file dependencies

Milos Gligoric, Lamyaa Eloussi, Darko Marinov

Practical regression test selection with dynamic file dependencies

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Randomized stress-testing of link-time optimizers

Vu Le, Chengnian Sun, Zhendong Su

Randomized stress-testing of link-time optimizers

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Feedback-controlled random test generation

Kohsuke Yatoh, Kazunori Sakamoto, Fuyuki Ishikawa, Shinichi Honiden

Feedback-controlled random test generation

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Enhancing reuse of constraint solutions to improve symbolic execution

Xiangyang Jia, Carlo Ghezzi, Shi Ying

Enhancing reuse of constraint solutions to improve symbolic execution

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Test-case generation for runtime analysis and vice versa: verification of aircraft separation assurance

Marko Dimjasevic, Dimitra Giannakopoulou

Test-case generation for runtime analysis and vice versa: verification of aircraft separation assurance

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Preventing data errors with continuous testing

Kivanç Muslu, Yuriy Brun, Alexandra Meliou

Preventing data errors with continuous testing

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Automated unit test generation during software development: a controlled experiment and think-aloud observations

José Miguel Rojas, Gordon Fraser, Andrea Arcuri

Automated unit test generation during software development: a controlled experiment and think-aloud observations

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Empirical evaluation of pareto efficient multi-objective regression test case prioritisation

Michael G. Epitropakis, Shin Yoo, Mark Harman, Edmund K. Burke

Empirical evaluation of pareto efficient multi-objective regression test case prioritisation

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Experience report: an empirical study of PHP security mechanism usage

Johannes Dahse, Thorsten Holz

Experience report: an empirical study of PHP security mechanism usage

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SAMC: a fast model checker for finding heisenbugs in distributed systems (demo)

Tanakorn Leesatapornwongsa, Haryadi S. Gunawi

SAMC: a fast model checker for finding heisenbugs in distributed systems (demo)

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Reliable testing: detecting state-polluting tests to prevent test dependency

Alex Gyori, August Shi, Farah Hariri, Darko Marinov

Reliable testing: detecting state-polluting tests to prevent test dependency

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Detection and classification of malicious JavaScript via attack behavior modelling

Yinxing Xue, Junjie Wang, Yang Liu, Hao Xiao, Jun Sun, Mahinthan Chandramohan

Detection and classification of malicious JavaScript via attack behavior modelling

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Automatic fault injection for driver robustness testing

Kai Cong, Li Lei, Zhenkun Yang, Fei Xie

Automatic fault injection for driver robustness testing

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Automated software transplantation

Earl T. Barr, Mark Harman, Yue Jia, Alexandru Marginean, Justyna Petke

Automated software transplantation

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An analysis of patch plausibility and correctness for generate-and-validate patch generation systems

Zichao Qi, Fan Long, Sara Achour, Martin C. Rinard

An analysis of patch plausibility and correctness for generate-and-validate patch generation systems

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WuKong: a scalable and accurate two-phase approach to Android app clone detection

Haoyu Wang, Yao Guo, Ziang Ma, Xiangqun Chen

WuKong: a scalable and accurate two-phase approach to Android app clone detection

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Evaluating the usefulness of IR-based fault localization techniques

Qianqian Wang, Chris Parnin, Alessandro Orso

Evaluating the usefulness of IR-based fault localization techniques

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Pegasus: automatic barrier inference for stable multithreaded systems

Monika Dhok, Rashmi Mudduluru, Murali Krishna Ramanathan

Pegasus: automatic barrier inference for stable multithreaded systems

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Dynamic taint tracking for Java with phosphor (demo)

Jonathan Bell, Gail E. Kaiser

Dynamic taint tracking for Java with phosphor (demo)

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S-looper: automatic summarization for multipath string loops

Xiaofei Xie, Yang Liu, Wei Le, Xiaohong Li, Hongxu Chen

S-looper: automatic summarization for multipath string loops

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DLint: dynamically checking bad coding practices in JavaScript

Liang Gong, Michael Pradel, Manu Sridharan, Koushik Sen

DLint: dynamically checking bad coding practices in JavaScript

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Experience report: how is dynamic symbolic execution different from manual testing? a study on KLEE

Xiaoyin Wang, Lingming Zhang, Philip Tanofsky

Experience report: how is dynamic symbolic execution different from manual testing? a study on KLEE

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Mining change history for test-plan generation (doctoral symposium)

Thomas Rolfsnes

Mining change history for test-plan generation (doctoral symposium)

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Modelgen: mining explicit information flow specifications from concrete executions

Lazaro Clapp, Saswat Anand, Alex Aiken

Modelgen: mining explicit information flow specifications from concrete executions

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BrowserAudit: automated testing of browser security features

Charlie Hothersall-Thomas, Sergio Maffeis, Chris Novakovic

BrowserAudit: automated testing of browser security features

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Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review.
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