In this issue

In this issue Software Qual J (2018) 26:1–2 https://doi.org/10.1007/s11219-018-9403-0 Rachel Harrison Published online: 12 February 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 In this issue, we have six regular research papers. The first four are linked by the common theme of software defects and testing, whereas the fifth and sixth provide a review and an empirical study respectively. In “Fail-safe testing of safety-critical systems: a case study and efficiency analysis”,Ahmed Gario, Anneliese Andrews, and Seana Hagerman propose an approach for testing safety- critical systems based on the behavioural and fault models of the system. The approach leads to an integrated model which then can be used for test generation. The authors have developed a tool that estimates the number of states and transitions to show that the approach is scalable. Continuing with the theme of software defects, the paper “Predicting failures in agile software development through data analytics” by Feras A. Batarseh and Avelino J. Gonzalez introduces a method to predict software failures and their locations in agile sprints. Experi- ments showed that the new method for forecasting errors had a good success rate. In “Towards automation of IT systems repairs”, Janusz Gorski and Marek Kamiński describe a method http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Software Quality Journal Springer Journals

In this issue

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Software Engineering/Programming and Operating Systems; Programming Languages, Compilers, Interpreters; Data Structures, Cryptology and Information Theory; Operating Systems
ISSN
0963-9314
eISSN
1573-1367
D.O.I.
10.1007/s11219-018-9403-0
Publisher site
See Article on Publisher Site

Abstract

Software Qual J (2018) 26:1–2 https://doi.org/10.1007/s11219-018-9403-0 Rachel Harrison Published online: 12 February 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 In this issue, we have six regular research papers. The first four are linked by the common theme of software defects and testing, whereas the fifth and sixth provide a review and an empirical study respectively. In “Fail-safe testing of safety-critical systems: a case study and efficiency analysis”,Ahmed Gario, Anneliese Andrews, and Seana Hagerman propose an approach for testing safety- critical systems based on the behavioural and fault models of the system. The approach leads to an integrated model which then can be used for test generation. The authors have developed a tool that estimates the number of states and transitions to show that the approach is scalable. Continuing with the theme of software defects, the paper “Predicting failures in agile software development through data analytics” by Feras A. Batarseh and Avelino J. Gonzalez introduces a method to predict software failures and their locations in agile sprints. Experi- ments showed that the new method for forecasting errors had a good success rate. In “Towards automation of IT systems repairs”, Janusz Gorski and Marek Kamiński describe a method

Journal

Software Quality JournalSpringer Journals

Published: Feb 12, 2018

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