Soft Theory: A Pragmatic Alternative to Conduct Quantitative Empirical Studies

Daniel Russo, Klaas Jan Stol

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)

Abstract

Practitioners and scholars often face new software engineering phenomena which lack sufficient theoretical grounding. When studying such nascent and emerging topics, it is important to establish an initial and rudimentary understanding, leaving a more precise understanding of underpinning mechanisms till later. Controlled experiments, for example, might lead to insights into the specific mechanisms underpinning a certain practice, such as distributed development, pair programming, and test-driven development. However, at an initial stage of research, such highly controlled studies may not be feasible. In other domains, it may not be clear what the key constructs are, so that effective measurement cannot be done. Instead, researchers might opt for pragmatic alternative research approaches that do not require experimental control or active intervention in a study's setting. In this paper we advocate the use of soft theory (based on soft modeling techniques) for quantitative studies in software engineering research. We discuss the use of soft theory and position it within an existing taxonomy of quantitative data analysis techniques. Soft modeling and soft theory affords us a pragmatic approach to developing inferential and predictive research models, rather than aiming to develop a causal understanding. Soft theory approaches are grounded in robust quantitative data analysis techniques. We argue that these techniques can be effectively used in industry settings which are not amenable to highly controlled studies.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE/ACM Joint 7th International Workshop on Conducting Empirical Studies in Industry and 6th International Workshop on Software Engineering Research and Industrial Practice, CESSER-IP 2019
Number of pages4
PublisherIEEE Signal Processing Society
Publication dateMay 2019
Pages30-33
Article number8836184
ISBN (Electronic)9781728122649
DOIs
Publication statusPublished - May 2019
Externally publishedYes
EventJoint IEEE/ACM 7th International Workshop on Conducting Empirical Studies in Industry and 6th International Workshop on Software Engineering Research and Industrial Practice, CESSER-IP 2019 - Montreal, Canada
Duration: 28 May 2019 → …

Conference

ConferenceJoint IEEE/ACM 7th International Workshop on Conducting Empirical Studies in Industry and 6th International Workshop on Software Engineering Research and Industrial Practice, CESSER-IP 2019
CountryCanada
CityMontreal
Period28/05/2019 → …

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