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Requirements' Characteristics: How do they Impact on Project Budget in a Systems Engineering Context?
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2019 (English)In: Proceedings - 45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 260-267Conference paper, Published paper (Refereed)
Abstract [en]

Background: Requirements engineering is of a principal importance when starting a new project. However, the number of the requirements involved in a single project can reach up to thousands. Controlling and assuring the quality of natural language requirements (NLRs), in these quantities, is challenging. Aims: In a field study, we investigated with the Swedish Transportation Agency (STA) to what extent the characteristics of requirements had an influence on change requests and budget changes in the project. Method: We choose the following models to characterize system requirements formulated in natural language: Concern-based Model of Requirements (CMR), Requirements Abstractions Model (RAM) and Software-Hardware model (SHM). The classification of the NLRs was conducted by the three authors. The robust statistical measure Fleiss' Kappa was used to verify the reliability of the results. We used descriptive statistics, contingency tables, results from the Chi-Square test of association along with post hoc tests. Finally, a multivariate statistical technique, Correspondence analysis was used in order to provide a means of displaying a set of requirements in two-dimensional graphical form. Results: The results showed that software requirements are associated with less budget cost than hardware requirements. Moreover, software requirements tend to stay open for a longer period indicating that they are 'harder' to handle. Finally, the more discussion or interaction on a change request can lower the actual estimated change request cost. Conclusions: The results lead us to a need to further investigate the reasons why the software requirements are treated differently from the hardware requirements, interview the project managers, understand better the way those requirements are formulated and propose effective ways of Software management. © 2019 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 260-267
Keywords [en]
Natural-Language-Requirements-(NLRs), Project-budget, Requirements-Engineering, Software-Management, Budget control, Multivariant analysis, Natural language processing systems, Quality control, Requirements engineering, Statistical tests, Correspondence analysis, Descriptive statistics, Multivariate statistical techniques, Natural language requirements, Project budget, Software management, Software requirements, Transportation agencies, Application programs
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-19051DOI: 10.1109/SEAA.2019.00048Scopus ID: 2-s2.0-85076017569ISBN: 9781728132853 (print)OAI: oai:DiVA.org:bth-19051DiVA, id: diva2:1381701
Conference
45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA, Kallithea, Chalkidiki; Greece, 28 August 2019 through 30 August 2019
Available from: 2019-12-27 Created: 2019-12-27 Last updated: 2019-12-27Bibliographically approved

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Chatzipetrou, PanagiotaUnterkalmsteiner, MichaelGorschek, Tony

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