Keyword

code coverage

Description: Code coverage is a software testing measure indicating how much source code is exercised by a test suite.

Primary topic: Software Testing and Debugging Techniques (76%)

Wikidata ID: wiki/Q1211721

OpenAlex ID: keywords/code-coverage

Prioritizing test cases for regression testing

2001 · G. Rothermel, R.H. Untch, et al. · IEEE Transactions on Software Engineering · 1,361

Automated Whitebox Fuzz Testing.

2008 · Patrice Godefroid, Michael Y. Levin, et al. · 1,097

Pex–White Box Test Generation for .NET

2008 · Nikolai Tillmann, Jonathan de Halleux · Lecture notes in computer science · 805

Experiments on the effectiveness of dataflow- and control-flow-based test adequacy criteria

1994 · Monica Hutchins, H. D. Foster, et al. · 783

Are mutants a valid substitute for real faults in software testing?

2014 · René Just, Darioush Jalali, et al. · ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE) · 602

Whole Test Suite Generation

2012 · Gordon Fraser, Andrea Arcuri · IEEE Transactions on Software Engineering · 585

FairFuzz: a targeted mutation strategy for increasing greybox fuzz testing coverage

2018 · Caroline Lemieux, Koushik Sen · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 474

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Automated Test Input Generation for Android: Are We There Yet? (E)

2015 · Shauvik Roy Choudhary, Alessandra Gorla, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 468

DL-Droid: Deep learning based android malware detection using real devices

2019 · Mohammed K. Alzaylaee, Suleiman Y. Yerima, et al. · Computers & Security · 445

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Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts

2019 · Mark Mossberg, Felipe Manzano, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 421

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Coverage is not strongly correlated with test suite effectiveness

2014 · Laura Inozemtseva, Reid Holmes · Proceedings/Proceedings - International Conference on Software Engineering · 413

Evolutionary testing of classes

2004 · Paolo Tonella · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 410

CollAFL: Path Sensitive Fuzzing

2018 · Shuitao Gan, Chao Zhang, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 396

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Guided, stochastic model-based GUI testing of Android apps

2017 · Ting Su, Guozhu Meng, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 378

ITK: enabling reproducible research and open science

2014 · Matthew McCormick, Xiaoxiao Liu, et al. · Frontiers in Neuroinformatics · 377

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Experiments on the effectiveness of dataflow- and control-flow-based test adequacy criteria

2002 · M. Hutchins, H. Foster, et al. · 375

The combinatorial design approach to automatic test generation

1996 · D.M. Cohen, S.R. Dalal, et al. · IEEE Software · 373

Pareto efficient multi-objective test case selection

2007 · Shin Yoo, Mark Harman · International Symposium on Software Testing and Analysis · 363

AFLNET: A Greybox Fuzzer for Network Protocols

2020 · Van-Thuan Pham, Marcel Bohme, et al. · 356

Coverage-Based Greybox Fuzzing as Markov Chain

2017 · Marcel Bohme, Van-Thuan Pham, et al. · IEEE Transactions on Software Engineering · 341

Skyfire: Data-Driven Seed Generation for Fuzzing

2017 · Junjie Wang, Bihuan Chen, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 338

Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models

2023 · Yinlin Deng, Chunqiu Steven Xia, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 326

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EvoDroid: segmented evolutionary testing of Android apps

2014 · Riyadh Mahmood, Nariman Mirzaei, et al. · ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE) · 318

ANDRUBIS -- 1,000,000 Apps Later: A View on Current Android Malware Behaviors

2014 · Martina Lindorfer, Matthias Neugschwandtner, et al. · 304

sFuzz

2020 · Tai D. Nguyen, Long H. Pham, et al. · 279

Works count: 3,728

Citation count: 44,800