World's Best Scientists 2026 revealed!
Software Testing Verification and Reliability
H-index 10

Software Testing Verification and Reliability

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 559 38 67 10

Additional Metrics

Number of Best Scientists*: 43
Documents by Best Scientists*: 70
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 56
SCIMAGO SJR: 0.43
Impact Factor: 1.2

Overview

Top Research Topics at Software Testing, Verification & Reliability?

The journal is organized to address concerns in the fields of Software engineering, Programming language, Reliability engineering, Software and Test case. The journal facilitates discussions on Software engineering that incorporate concepts from other fields like Manual testing, Software construction, Systems engineering, Software testing and Test strategy. The journal connects research in Manual testing with the related topic of Keyword-driven testing.

The work on Programming language addressed in Software Testing, Verification & Reliability expands to the thematically related Theoretical computer science. The research on Reliability engineering tackled can also make contributions to studies in the areas of Software quality, Software reliability testing and White-box testing. It explores issues in Software reliability testing which can be linked to other research areas like Regression testing and Non-regression testing.

The concepts on Test case presented in the journal can also apply to other research fields, including Data mining and Test Management Approach.

  • Software engineering (23.49%)
  • Programming language (13.46%)
  • Reliability engineering (13.19%)

What are the most cited papers published in the journal?

  • Search‐based software test data generation: a survey (1121 citations)
  • Regression testing minimization, selection and prioritization: a survey (943 citations)
  • MuJava: an automated class mutation system (547 citations)

Research areas of the most cited articles at Software Testing, Verification & Reliability:

The most cited articles investigate areas of study like Algorithm, Software engineering, Test case, Software and Programming language. The most cited papers focus on Algorithm but the discussions also offer insight into other areas such as Test data, Test data generation, Mutation (genetic algorithm) and Orthogonal array testing. The most cited papers address concerns in Test case which are intertwined with other disciplines, such as Data mining and Selection (genetic algorithm).

What topics the last edition of the journal is best known for?

  • Programming language
  • Operating system
  • Statistics

The previous edition focused in particular on these issues:

Software Testing, Verification & Reliability tackles a plethora of topics, such as Software engineering, Software testing, Test (assessment), Programming language and Embedded system. The work on Software engineering tackled in it brings together disciplines like Timeline, Software performance testing, JavaScript, Graphical user interface testing and Debugging. Software testing research presented in it encompasses a variety of subjects, including Reliability engineering, Applied psychology and Perception.

In the journal, Fuzz testing, Risk analysis (engineering), Selection (genetic algorithm) and Cyber-physical system are investigated in conjunction with one another to address concerns in Test (assessment) research. The Programming language works featured in the journal incorporate elements from Benchmark (computing) and Taxonomy (general). In addition to Embedded system research, it aims to explore topics under Android (operating system), Cloud computing, Embedded software and Cost reduction.

The most cited articles from the last journal are:

  • Performance mutation testing (4 citations)
  • BUGSJS: a benchmark and taxonomy of JavaScript bugs (3 citations)
  • Sidereal: Statistical adaptive generation of robust locators for web testing (1 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Software Testing, Verification & Reliability (based on the number of publications) are:

  • Jeff Offutt (66 papers) absent at the last edition,
  • Robert M. Hierons (37 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Lee J. White (22 papers) absent at the last edition,
  • Martin R. Woodward (18 papers) absent at the last edition,
  • Mark Harman (16 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Software Testing, Verification & Reliability (based on the number of publications) are:

  • George Mason University (47 papers) absent at the last edition,
  • University of Sheffield (35 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • London South Bank University (21 papers) absent at the last edition,
  • Brunel University London (14 papers) absent at the last edition,
  • University of Nebraska–Lincoln (14 papers) published 1 paper at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 5.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.21% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.30% of all publications and 42.42% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Pathways in Software Testing, Verification & Reliability

If you're enthralled by the fascinating fields of software testing, verification, and reliability, and would like to build your career around it, good news! There's a wide career path you can follow. Many start their journey as entry-level test engineers and gradually climb up the ladder to become senior test engineers, leads, and eventually, managers. With expertise and specialized knowledge, you can even venture into research, academics, or consultancy. Each role has specific prerequisites that need to be fulfilled in terms of academic qualifications, skills, and experience.

It is essential to note that the role of testers has evolved significantly over the past couple of decades. They no longer play just an operational part; instead, they are strategic contributors who ensure the quality of software products. Hence, join the journey of software testing armed with relentless curiosity, meticulous precision, and a thirst for continual learning.

For those interested in teaching young minds about this fascinating field, becoming a software testing teacher is a great option. If you're wondering about how it can be done, you can look into preschool teacher assistant requirements in west virginia as an example of the educational and vocational path one may typically follow.

Top Publications

  • Search-based crash reproduction using behavioural model seeding

    Pouria Derakhshanfar;Xavier Devroey;Gilles Perrouin;Andy Zaidman

    (2020)
    24 Citations
  • Sidereal: Statistical adaptive generation of robust locators for web testing

    Maurizio Leotta;Filippo Ricca;Paolo Tonella

    (2021)
    20 Citations
  • Automatically identifying potential regressions in the layout of responsive web pages

    Thomas A. Walsh;Gregory M. Kapfhammer;Phil McMinn

    (2020)
    18 Citations
  • Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines

    (2022)
    13 Citations
  • BUGSJS: a benchmark and taxonomy of JavaScript bugs

    Péter Gyimesi;Béla Vancsics;Andrea Stocco;Davood Mazinanian

    (2021)
    13 Citations
  • Leveraging metamorphic testing to automatically detect inconsistencies in code generator families

    Mohamed Boussaa;Olivier Barais;Gerson Sunyé;Benoit Baudry

    (2020)
    13 Citations
  • JUGE: An infrastructure for benchmarking Java unit test generators

    (2021)
    11 Citations
  • Fully Automated HTML and JavaScript Rewriting for Constructing a Self‐healing Web Proxy

    Thomas Durieux;Youssef Hamadi;Martin Monperrus

    (2020)
    11 Citations
  • Improving test automation maturity: A multivocal literature review

    (2022)
    11 Citations
  • Using mutants to help developers distinguish and debug (compiler) faults

    Josie Holmes;Alex Groce

    (2020)
    10 Citations

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Best Scientists Contributing to This Journal