Proceedings Article10.1109/ICSTW.2015.7107470
Mapping software testing practice with software testing research — SERP-test taxonomy
Emelie Engström,Kai Petersen +1 more
- 13 Apr 2015
- pp 1-4
TL;DR: The SERP-test taxonomy is proposed to structure information on testing interventions and practical testing challenges from a common perspective and thus bridge the communication gap and is used by both researchers and practitioners to classify and search for testing challenges or interventions.
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Abstract: There is a gap between software testing research and practice. One reason is the discrepancy between how testing research is reported and how testing challenges are perceived in industry. We propose the SERP-test taxonomy to structure information on testing interventions and practical testing challenges from a common perspective and thus bridge the communication gap. To develop the taxonomy we follow a systematic incremental approach. The SERP-test taxonomy may be used by both researchers and practitioners to classify and search for testing challenges or interventions. The SERP-test taxonomy also supports comparison of testing interventions by providing an instrument for assessing the distance between them and thus identify relevant points of comparisons.
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ProMeTA: a taxonomy for program metamodels in program reverse engineering
TL;DR: A conceptual framework is established with definitions of program metamodels and related concepts that are used to provide a comprehensive taxonomy, named Program Metamodel TAxonomy (ProMeTA), which incorporates newly identified characteristics into those stated in previous works, while keeping the orthogonality of the entire taxonomy.
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TL;DR: The intent is to aid future researchers doing empirical studies in SBST by providing an unbiased view of the body of empirical evidence and by guiding them in performing well-designed and executed empirical studies.
Context in industrial software engineering research
Kai Petersen,Claes Wohlin +1 more
- 15 Oct 2009
TL;DR: This paper structures the context for empirical industrial studies and provides a checklist to aid researchers in making informed decisions concerning which parts of the context to include in the descriptions.
Maturing Software Engineering Knowledge through Classifications: A Case Study on Unit Testing Techniques
TL;DR: In this article, a preliminary classification of a set of unit testing techniques is presented, and the proposed classification has proven useful for maturing knowledge about testing techniques, as it helps to provide a systematic description of the techniques, understand testing techniques by studying the relationships among techniques, identify potentially useful techniques that do not yet exist by analyzing gaps in the classification, and support practitioners in testing technique selection by matching technique characteristics to project characteristics.
Finding relevant research solutions for practical problems: the serp taxonomy architecture
Kai Petersen,Emelie Engström +1 more
- 16 Sep 2014
TL;DR: SERP may be useful in multiple ways: given that SERP taxonomies are populated with industrial problems and scientific solutions, it could rapidly identify candidate research solutions for industrial practice and researchers could benefit from the taxonomy in the reporting of their research to ease the mapping to industrial challenges.
Comparing a hybrid testing process with scripted and exploratory testing: an experimental study with practitioners
Syed M. Shah,Usman Sattar Alvi,Cigdem Gencel,Kai Petersen +3 more
- 26 May 2014
TL;DR: The results indicated that HT performed better in terms of DDE than ST and worse than ET, and performed best for experienced testers, but worse with less experienced testers.
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