Assessing a requirements evolution approach: Empirical studies in the air traffic management domain |
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Affiliation: | 1. University of Trento, Italy;2. Deep Blue, Rome, Italy;1. CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, Tasmania, Australia;2. School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195-5020, USA;3. CSIRO Oceans and Atmosphere, Ecosciences Precinct, Dutton Park, Queensland, 4750, Australia;1. Department of Computer Science, Open University of Madrid, Spain;2. School of Computer Science, Universidad Politécnica de Madrid, Spain;1. Department of Information Engineering, Qilu University of Technology, 58 Sangyuan Road, Jinan 250100, China;2. School of Computer Science and Technology, Shandong University of Finance and Economics, 7366 2nd East Ring Road, Jinan 250014, China;3. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, P.O. Box 878809, Tempe, AZ 85287-8809, USA |
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Abstract: | Requirements evolution is still a challenging problem in engineering practices. In this paper, we report the results of the empirical evaluation of a novel approach for modeling and reasoning on evolving requirements. We evaluated the effectiveness of the approach in modeling requirements evolution by means of a series of empirical studies in the air traffic management (ATM) domain. As we also wanted to assess whether the knowledge of the method and/or the application domain influences the effectiveness of the approach, the studies involved researchers, master students and domain experts with different level of knowledge of the approach and of the ATM domain. The participants have applied the approach to a real evolutionary scenario which focuses on the introduction of a new queue management tool, the Arrival MANager (AMAN) and a new network for information sharing (SWIM) connecting the main ATM actors. The results from the studies show that the modeling approach is effective in capturing requirements evolution. In addition, domain knowledge and method knowledge do not have an observable effect on the effectiveness of the approach. Furthermore, the evaluation provided us useful insights on how to improve the modeling approach. |
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Keywords: | Requirements engineering Evolution Change management User study Air traffic management domain |
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