Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Regression testing goals: View of practitioners and researchers
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-8177-4355
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-7266-5632
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2017 (English)In: 24th Asia-Pacific Software Engineering Conference Workshops (APSECW), IEEE, 2017, p. 25-32Conference paper, Published paper (Refereed)
Abstract [en]

Context: Regression testing is a well-researched area. However, the majority regression testing techniques proposed by the researchers are not getting the attention of the practitioners. Communication gaps between industry and academia and disparity in the regression testing goals are the main reasons. Close collaboration can help in bridging the communication gaps and resolving the disparities.Objective: The study aims at exploring the views of academics and practitioners about the goals of regression testing. The purpose is to investigate the commonalities and differences in their viewpoints and defining some common goals for the success of regression testing.Method: We conducted a focus group study, with 7 testing experts from industry and academia. 4 testing practitioners from 2companies and 3 researchers from 2 universities participated in the study. We followed GQM approach, to elicit the regression testing goals, information needs, and measures.Results: 43 regression testing goals were identified by the participants, which were reduced to 10 on the basis of similarity among the identified goals. Later during the priority assignment process, 5 goals were discarded, because the priority assigned to these goals was very low. Participants identified 47 information needs/questions required to evaluate the success of regression testing with reference to goal G5 (confidence). Which were then reduced to10 on the basis of similarity. Finally, we identified measures to gauge those information needs/questions, which were corresponding to the goal (G5).Conclusions: We observed that participation level of practitioners and researchers during the elicitation of goals and questions was same. We found a certain level of agreement between the participants regarding the regression testing definitions and goals.But there was some level of disagreement regarding the priorities of the goals. We also identified the need to implement a regression testing evaluation framework in the participating companies.

Place, publisher, year, edition, pages
IEEE, 2017. p. 25-32
Keywords [en]
Regression testing, Regression testing goals, GQM, Focus group
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-16009DOI: 10.1109/APSECW.2017.23ISI: 000428319200008ISBN: 978-1-5386-2649-8 (electronic)OAI: oai:DiVA.org:bth-16009DiVA, id: diva2:1192426
Conference
24th Asia-Pacific Software Engineering Conference, Nanjing
Projects
EASE (Embedded Applications Software Engineering, ease.cs.lth.se)Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-12-05Bibliographically approved
In thesis
1. Regression Testing Challenges and Solutions: An Industry-Academia Perspective
Open this publication in new window or tab >>Regression Testing Challenges and Solutions: An Industry-Academia Perspective
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Background: Software quality assurance (QA) is an essential activity in the software development lifecycle. Among the different QA activities, regression testing is a challenging task for large-scale software development. Regression testing is a well-researched area, and a large number of techniques have been proposed to fulfill the needs of industry. Despite the extensive research, the adoption of proposed regression testing techniques in the industry is limited. Studies show that there is a visible gap between research and practice.

Objective: This work aims at reducing the gap between industry and academia in regression testing. To fulfill this aim we have the following objectives:

1) Understanding the practitioners' goals regarding regression testing.

2) Understanding the current state of regression testing practice and challenges in the industry.

3) Investigating the testing research applicable in an industrial context.

Method: We conducted multiple studies using different methods.

To explore the industry perspective on regression testing we used focus group and interview-based studies. To explore solutions from the literature, we used the systematic literature review and systematic mapping study.

Results: This thesis presents the practitioners' specific regression testing goals. The identified goals are confidence, controlled fault slippage, effectiveness, efficiency, and customer satisfaction. The challenges identified in the thesis are of two categories, 1) management related challenges and 2) technical challenges. Technical challenges relate to test suite maintenance, test case selection, test case prioritization, evaluation of regression testing.

We have mapped 26 empirically evaluated regression testing techniques to the context, effect, and information taxonomies, and provided a guide to the practitioners regarding the adoption of the techniques in an industrial setting. We have also classified 56 model-based test case generation techniques regarding their strengths/limitations, input/intermediate models used, and relevance to the industrial context.

Conclusions: The challenges identified in this study are not new for research and practice. There could be two reasons regarding the presence of recurring challenges: 1) regression testing techniques proposed in the literature do not fit the companies’ context, 2) or, companies are not aware of the availability of the techniques that could be suitable for their context. To support the adoption of existing research on regression testing in the industry, we have presented three taxonomies. These taxonomies, allow the characterization of regression testing techniques and enable to determine which of these techniques might be suitable in a given context. Furthermore, the identification of information needs for these techniques would be helpful to learn the implications regarding the cost of adoption. Regarding the support in test case generation, we conclude that current research on interaction model-based test case generation techniques did not illustrate the use of rigorous methodology, and currently, model-based test case generation techniques have low relevance for the industrial problems.

Place, publisher, year, edition, pages
Karlskrona, Sweden: Blekinge Tekniska Högskola, 2019. p. 146
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 2
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-17381 (URN)978-91-7295-365-9 (ISBN)
Presentation
2019-01-08, J1650, Campus Gräsvik, Karlskrona, 14:00 (English)
Opponent
Supervisors
Funder
VINNOVA, 2015-03235
Available from: 2018-12-06 Created: 2018-12-05 Last updated: 2019-01-17Bibliographically approved

Open Access in DiVA

fulltext(330 kB)119 downloads
File information
File name FULLTEXT01.pdfFile size 330 kBChecksum SHA-512
f7b6cc5c542c21d5d58cd069f652b4b0d3110f8dba45f116532fc15ce4f099fccff7df894acf3a3181b117b35717856ff30881e3dce70af510d63df4230c6f79
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Petersen, KaiAli, Nauman binWnuk, Krzysztof

Search in DiVA

By author/editor
Minhas, Nasir MehmoodPetersen, KaiAli, Nauman binWnuk, Krzysztof
By organisation
Department of Software Engineering
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 119 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 252 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf