Evaluating guidelines for reporting empirical software engineering studies

Kitchenham, Barbara A. and Al-Kilidar, Hiyam and Babar, Muhammad Ali and Berry, Mike and Cox, Karl and Keung, Jacky and Kurniawati, Felicia and Staples, Mark and Zhang, He and Zhu, Liming (2008) Evaluating guidelines for reporting empirical software engineering studies. Empirical Software Engineering, 13 (1). pp. 97-121. ISSN 1382-3256

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Abstract

Background Several researchers have criticized the standards of performing and reporting empirical studies in software engineering. In order to address this problem, Jedlitschka and Pfahl have produced reporting guidelines for controlled experiments in software engineering. They pointed out that their guidelines needed evaluation. We agree that guidelines need to be evaluated before they can be widely adopted. Aim The aim of this paper is to present the method we used to evaluate the guidelines and report the results of our evaluation exercise. We suggest our evaluation process may be of more general use if reporting guidelines for other types of empirical study are developed. Method We used a reading method inspired by perspective-based and checklist-based reviews to perform a theoretical evaluation of the guidelines. The perspectives used were: Researcher, Practitioner/Consultant, Meta-analyst, Replicator, Reviewer and Author. Apart from the Author perspective, the reviews were based on a set of questions derived by brainstorming. A separate review was performed for each perspective. The review using the Author perspective considered each section of the guidelines sequentially. Results The reviews detected 44 issues where the guidelines would benefit from amendment or clarification and 8 defects. Conclusions Reporting guidelines need to specify what information goes into what section and avoid excessive duplication. The current guidelines need to be revised and then subjected to further theoretical and empirical validation. Perspective-based checklists are a useful validation method but the practitioner/consultant perspective presents difficulties.

Item Type:
Journal Article
Journal or Publication Title:
Empirical Software Engineering
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
ID Code:
64501
Deposited By:
Deposited On:
14 May 2013 08:34
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Oct 2020 02:30