Software Testing Verification and Reliability

Aims & Scope

The journal is the premier outlet for research results on the subjects of testing, verification and reliability.

Readers will find useful research on issues pertaining to building better software and evaluating it.

The journal is unique in its emphasis on theoretical foundations and applications to real-world software development.

The balance of theory, empirical work, and practical applications provide readers with better techniques for testing, verifying and improving the reliability of software.

The journal targets researchers, practitioners, educators and students that have a vested interest in results generated by high-quality testing, verification and reliability modeling and evaluation of software.

Topics of special interest include, but are not limited to: -New criteria for software testing and verification -Application of existing software testing and verification techniques to new types of software, including web applications, web services, embedded software, aspect-oriented software, and software architectures -Model based testing -Formal verification techniques such as model-checking -Comparison of testing and verification techniques -Measurement of and metrics for testing, verification and reliability -Industrial experience with cutting edge techniques -Descriptions and evaluations of commercial and open-source software testing tools -Reliability modeling, measurement and application -Testing and verification of software security -Automated test data generation -Process issues and methods -Non-functional testing

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.2
2024	1.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.430

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	56

Journal Rank

Year	Value
2024	13116

Journal Citation Indicator

Year	Value
2024	143

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Regression testing minimization, selection and prioritization: a survey

  Citation: 912

  Authors: S., M.

• Search‐based software test data generation: a survey

  Citation: 874

  Authors: Phil

• A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering

  Citation: 488

  Authors: Andrea, Lionel

• A taxonomy of model‐based testing approaches

  Citation: 454

  Authors: Mark, Alexander, Bruno

• MuJava: an automated class mutation system

  Citation: 436

  Authors: Yu-Seung, Jeff, Yong Rae

• Test-data generation using genetic algorithms

  Citation: 356

  Authors: Roy P., Mary Jean, Robert R.

• Combination testing strategies: a survey

  Citation: 276

  Authors: Mats, Jeff, Sten F.

• Metallaxis‐FL: mutation‐based fault localization

  Citation: 272

  Authors: Mike, Yves

• Generating test data from state‐based specifications

  Citation: 230

  Authors: Jeff, Shaoying, Aynur, Paul

• IPOG/IPOG‐D: efficient test generation for multi‐way combinatorial testing

  Citation: 217

  Authors: Yu, Raghu, D. Richard, Vadim, James

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