DocumentCode
3023341
Title
An experiment for evaluating the effectiveness of using a system dynamics simulation model in software project management education
Author
Pfahl, Dietmar ; Koval, Nataliya ; Ruhe, Gunther
Author_Institution
Fraunhofer IESE, Kaiserslautern, Germany
fYear
2001
fDate
2001
Firstpage
97
Lastpage
109
Abstract
Due to increasing demand for software project managers in industry, efforts are needed to develop the management-related knowledge and skills of the current and future software workforce. In particular, university education needs to provide to their computer science students not only with technology-related skills but, in addition, a basic understanding of typical phenomena occurring in industrial (and academic) software projects. The paper presents a controlled experiment that evaluates the effectiveness of using a process simulation model for university education in software project management. The experiment uses a pre-test-post-test control group design with random assignment of computer science students. The treatment of the experimental group involves a system dynamics simulation model. The treatment of the control group involves a conventional predictive model for project planning, i.e. the well-known COCOMO model. In addition to the presentation of the results of the empirical study, the paper discusses limitations and threats to validity. Proposals for modifications of the experimental design and the treatments are made for future replications
Keywords
computer science education; digital simulation; project management; software cost estimation; software development management; software metrics; teaching; COCOMO model; computer science students; controlled experiment; pre-test-post-test control group design; predictive model; process simulation model; project planning; random assignment; software project management education; software project managers; software workforce; system dynamics simulation model; technology-related skills; university education; Computational modeling; Computer industry; Computer science; Computer science education; Educational technology; Knowledge management; Predictive models; Project management; Proposals; Software development management;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Metrics Symposium, 2001. METRICS 2001. Proceedings. Seventh International
Conference_Location
London
ISSN
1530-1435
Print_ISBN
0-7695-1043-4
Type
conf
DOI
10.1109/METRIC.2001.915519
Filename
915519
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