Software Testing, Verification and Reliability

Cover image for Vol. 26 Issue 5

Edited By: Jeff Offutt and Robert M. Hierons

Impact Factor: 1.082

ISI Journal Citation Reports © Ranking: 2015: 46/106 (Computer Science Software Engineering)

Online ISSN: 1099-1689

Associated Title(s): Journal of Software: Evolution and Process, Software Process: Improvement and Practice, Software: Practice and Experience

Recently Published Issues

See all

Enjoy the ICST Special Issues published by Software Testing Verification and Reliability

 ICST
To celebrate the ongoing collaboration between the ICST Conference and Software Testing, Verification & Reliability, we have brought all previous and current ICST Special Issues together in one collection.
 Read all the ICST Special Issue Papers

Recently Published Articles

  1. Non-negative sparse-based SemiBoost for software defect prediction

    Tiejian Wang, Zhiwu Zhang, Xiaoyuan Jing and Yanli Liu

    Version of Record online: 22 JUL 2016 | DOI: 10.1002/stvr.1610

    Thumbnail image of graphical abstract

    In this paper, we propose a novel semi-supervised software defect prediction approach, non-negative sparse based SemiBoost learning. The approach is capable of exploiting both labeled and unlabeled data via semi-supervised learning and solving the class-imbalance problem in software defect prediction via ensemble learning. Meanwhile, we design a flexible non-negative sparse similarity matrix, which can fully exploit the similarity of historical data.

  2. You have free access to this content
    Editorial: Changes to STVR's Editorial Board (page 350)

    Jeff Offutt

    Version of Record online: 15 JUL 2016 | DOI: 10.1002/stvr.1608

  3. Prioritizing manual test cases in rapid release environments

    Hadi Hemmati, Zhihan Fang, Mika V. Mäntylä and Bram Adams

    Version of Record online: 13 JUL 2016 | DOI: 10.1002/stvr.1609

    Thumbnail image of graphical abstract

    Test case prioritization is an important testing activity, in practice, especially when testing resources are limited, for example, in manual testing. Most existing prioritization techniques are based on code coverage, which is not suitable for manual testing. Therefore, in this paper, we examined text-based and history-based prioritization techniques. A study on 41 releases of Mozilla Firefox showed that test cases in rapid release environments can be very effectively prioritized for execution, based on their historical failure knowledge.

  4. UCov: a user-defined coverage criterion for test case intent verification

    Rawad Abou Assi, Wes Masri and Fadi Zaraket

    Version of Record online: 27 JUN 2016 | DOI: 10.1002/stvr.1607

    Thumbnail image of graphical abstract

    Existing coverage criteria, for example, branch coverage, do not guarantee that a given bug fix is exercised or a given scenario is tested. Therefore, there is a need for a coverage criterion in which the user can define a test requirement characterizing a given behavior to be covered as opposed to choosing from a pool of generic program elements. This paper proposes UCov, a user-defined coverage criterion that focuses the testing on important code patterns that could go untested otherwise.

  5. You have free access to this content

SEARCH

SEARCH BY CITATION