| 1. |
- Franch, Xavier, et al.
(författare)
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How do Practitioners Perceive the Relevance of Requirements Engineering Research? An Ongoing Study
- 2017
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Ingår i: 2017 IEEE 25TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE). - : IEEE. - 2332-6441. - 9781538631911 ; , s. 382-387
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Konferensbidrag (refereegranskat)abstract
- The relevance of Requirements Engineering (RE) research to practitioners is a prerequisite for problem-driven research in the area and key for a long-term dissemination of research results to everyday practice. To understand better how industry practitioners perceive the practical relevance of RE research, we have initiated the RE-Pract project, an international collaboration conducting an empirical study. This project opts for a replication of previous work done in two different domains and relies on survey research. To this end, we have designed a survey to be sent to several hundred industry practitioners at various companies around the world and ask them to rate their perceived practical relevance of the research described in a sample of 418 RE papers published between 2010 and 2015 at the RE, ICSE, FSE, ESEC/FSE, ESEM and REFSQ conferences. In this paper, we summarize our research protocol and present the current status of our study and the planned future steps.
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| 2. |
- Höst, Martin, et al.
(författare)
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Modeling the Effects of Project Management Strategies on Long-Term Product Knowledge
- 2012
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Ingår i: Product-Focused Software Process Improvement/Lecture Notes in Computer Science. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783642310621 ; 7343, s. 104-115
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Konferensbidrag (refereegranskat)abstract
- Abstract in UndeterminedIn a team, people sometimes leave the team and become replaced by new persons with less experience, and sometimes people participate in new activities and thereby obtain new knowledge. Different processes, in terms of different management strategies, can be followed, e.g., to introduce people to new tasks so they get new knowledge. There is a need to investigate the long term effects of different strategies on a team's software product knowledge. This paper presents an initial approach for how this type of knowledge can be modeled as a stochastic process. Metrics representing the long term effects on knowledge are derived, and two different example strategies are investigated numerically. Based on this it is discussed how the model can be further elaborated and evaluated.
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| 3. |
- Lenarduzzi, Valentina, et al.
(författare)
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Towards a methodology for participant selection in software engineering experiments a vision of the future
- 2021
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Ingår i: International Symposium on Empirical Software Engineering and Measurement. - New York, NY, USA : IEEE Computer Society. - 9781450386654
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Konferensbidrag (refereegranskat)abstract
- Background. Software Engineering (SE) researchers extensively perform experiments with human subjects. Well-defined samples are required to ensure external validity. Samples are selected purposely or by convenience, limiting the generalizability of results. Objective.We aim to depict the current status of participants selection in empirical SE, identifying the main threats and how they are mitigated. We draft a robust approach to participants selection. Method. We reviewed existing participants selection guidelines in SE, and performed a preliminary literature review to find out how participants selection is conducted in SE in practice. Results. We outline a new selection methodology, by 1) defining the characteristics of the desired population, 2) locating possible sources of sampling available for researchers, and 3) identifying and reducing the "distance" between the selected sample and its corresponding population. Conclusion. We propose a roadmap to develop and empirically validate the selection methodology. © 2021 IEEE Computer Society. All rights reserved.
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| 4. |
- Santos, Adrian, et al.
(författare)
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A family of experiments on test-driven development
- 2021
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Ingår i: Empirical Software Engineering. - : Springer. - 1382-3256 .- 1573-7616. ; 26:3
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Tidskriftsartikel (refereegranskat)abstract
- Context:: Test-driven development (TDD) is an agile software development approach that has been widely claimed to improve software quality. However, the extent to which TDD improves quality appears to be largely dependent upon the characteristics of the study in which it is evaluated (e.g., the research method, participant type, programming environment, etc.). The particularities of each study make the aggregation of results untenable. Objectives:: The goal of this paper is to: increase the accuracy and generalizability of the results achieved in isolated experiments on TDD, provide joint conclusions on the performance of TDD across different industrial and academic settings, and assess the extent to which the characteristics of the experiments affect the quality-related performance of TDD. Method:: We conduct a family of 12 experiments on TDD in academia and industry. We aggregate their results by means of meta-analysis. We perform exploratory analyses to identify variables impacting the quality-related performance of TDD. Results:: TDD novices achieve a slightly higher code quality with iterative test-last development (i.e., ITL, the reverse approach of TDD) than with TDD. The task being developed largely determines quality. The programming environment, the order in which TDD and ITL are applied, or the learning effects from one development approach to another do not appear to affect quality. The quality-related performance of professionals using TDD drops more than for students. We hypothesize that this may be due to their being more resistant to change and potentially less motivated than students. Conclusion:: Previous studies seem to provide conflicting results on TDD performance (i.e., positive vs. negative, respectively). We hypothesize that these conflicting results may be due to different study durations, experiment participants being unfamiliar with the TDD process, or case studies comparing the performance achieved by TDD vs. the control approach (e.g., the waterfall model), each applied to develop a different system. Further experiments with TDD experts are needed to validate these hypotheses. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
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