Abstract
In market-driven development of product software, a crucial decision for each candidate requirement is whether or not to select it for implementation in the next release. We present an analytical model of the requirements selection process, which is used for reasoning about decision quality. A network of queues, with two classes of jobs, models the selection of requirements of different quality. The feasibility of model parameter estimation is validated in a survey involving product managers and system engineers. The results show that some of the respondents have made internally consistent parameter estimations, indicating that the model is relevant and its parameters understandable. It is also shown that a majority of the consistent respondents estimate that most of their implemented product requirements are incorrectly selected. The main objective of the model is to provide tools for evaluation of improvement proposals by estimating the impact of process change
Original language | English |
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Title of host publication | Proceedings 11th IEEE International Requirements Engineering Conference |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 254-263 |
ISBN (Print) | 0-7695-1980-6 |
DOIs | |
Publication status | Published - 2003 |
Event | Proceedings 11th IEEE International Requirements Engineering Conference - Monterey Bay, CA, United States Duration: 2003 Sept 8 → 2003 Sept 12 |
Conference
Conference | Proceedings 11th IEEE International Requirements Engineering Conference |
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Country/Territory | United States |
City | Monterey Bay, CA |
Period | 2003/09/08 → 2003/09/12 |
Subject classification (UKÄ)
- Computer Science
Free keywords
- analytical model
- product software development
- market-driven development
- product software
- parameter estimation
- process change
- requirement selection quality evaluation