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 language | English |
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Title of host publication | Proceedings - 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 pages | 4 |
Publisher | IEEE Signal Processing Society |
Publication date | May 2019 |
Pages | 30-33 |
Article number | 8836184 |
ISBN (Electronic) | 9781728122649 |
DOIs | |
Publication status | Published - May 2019 |
Externally published | Yes |
Event | Joint 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
Conference | Joint 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 |
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Country/Territory | Canada |
City | Montreal |
Period | 28/05/2019 → … |