| 1. |
- Chatzipetrou, Panagiota, Assistant Professor, 1984-, et al.
(författare)
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Prioritization of issues and requirements by cumulative voting : A compositional data analysis framework
- 2010
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Ingår i: 2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications. - Lille : IEEE. - 9781424479016 ; , s. 361-370
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Konferensbidrag (refereegranskat)abstract
- Cumulative Voting (CV), also known as Hundred-Point Method, is a simple and straightforward technique, used in various prioritization studies in software engineering. Multiple stakeholders (users, developers, consultants, marketing representatives or customers) are asked to prioritize issues concerning requirements, process improvements or change management in a ratio scale. The data obtained from such studies contain useful information regarding correlations of issues and trends of the respondents towards them. However, the multivariate and constrained nature of data requires particular statistical analysis. In this paper we propose a statistical framework; the multivariate Compositional Data Analysis (CoDA) for analyzing data obtained from CV prioritization studies. Certain methodologies for studying the correlation structure of variables are applied to a dataset concerning impact analysis issues prioritized by software professionals under different perspectives. These involve filling of zeros, transformation using the geometric mean, principle component analysis on the transformed variables and graphical representation by biplots and ternary plots.
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| 2. |
- Rovegård, Per, et al.
(författare)
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An Empirical Study on Views of Importance of Change Impact Analysis Issues
- 2008
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Ingår i: IEEE Transactions on Software Engineering. - : IEEE. - 0098-5589. ; 34:4, s. 513-530
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Tidskriftsartikel (refereegranskat)abstract
- Change impact analysis (IA) is a change management activity that previously has been much studied from a technical perspective. For example, much work focuses on methods for determining the impact of a change. In this paper, we present results from a study on the role of IA in the change management process. In the study, IA issues were prioritized with respect to criticality by software professionals from an organizational perspective and a self-perspective. The software professionals belonged to three organizational levels: operative, tactical, and strategic. Qualitative and statistical analyses with respect to differences between perspectives and levels are presented. The results show that important issues for a particular level are tightly related to how the level is defined. Similarly, issues important from an organizational perspective are more holistic than those important from a self-perspective. However, our data indicate that the self-perspective colors the organizational perspective, meaning that personal opinions and attitudes cannot be easily disregarded. In comparing the perspectives and the levels, we visualize the differences in a way that allows us to discuss two classes of issues: high priority and medium priority. The most important issues from this point of view concern fundamental aspects of IA and its execution.
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| 3. |
- Wohlin, Claes, et al.
(författare)
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The success factors powering industry-academia collaboration
- 2011
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Ingår i: IEEE Software. - : IEEE Computer Society. - 0740-7459 .- 1937-4194. ; 29:2, s. 67-73
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Tidskriftsartikel (refereegranskat)abstract
- Collaboration between industry and academia supports improvement and innovation in industry and helps to ensure industrial relevance in academic research. This article presents an exploratory study of the factors for successful collaboration between industry and academia in software research.
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