| 1. |
- Berntsson Svensson, Richard, et al.
(författare)
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Cost and benefit analysis of quality requirements in competitive software product management: a case study on the QUPER model
- 2010
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Ingår i: 2010 Fourth International Workshop on Software Product Management. - 9781424487646
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Konferensbidrag (refereegranskat)abstract
- In market-driven product development, it is important that the software product is released to the market at the right time, and offers higher quality than the competitors. In release planning, the allocation of development effort in investments into product enhancements, functions are competing with quality requirements for limited resources. In addition, it is important to find the right balance between competing quality requirements. In this paper, we present an industrial evaluation of the benefit and cost views in the QUality PERformance (QUPER) model. The results indicate that the model is relevant in the release planning process, and that the combination of the benefit and cost views provides a clear picture of the current market situation.
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| 2. |
- Natt och Dag, Johan, et al.
(författare)
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A linguistic-engineering approach to large-scale requirements management
- 2005
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Ingår i: IEEE Software. - 0740-7459. ; 22:1, s. 32-32
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Tidskriftsartikel (refereegranskat)abstract
- Developing large, complex software products aimed at broad markets involves identifying and maintaining the link between product requirements and the continuous, massive inflow of customers' wishes. The manual linkage performed today is cumbersome, time-consuming, and error-prone. Automating this support through linguistic engineering could save considerable time and improve software quality. This article includes an evaluation with real requirements from industry.
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| 3. |
- Natt och Dag, Johan, et al.
(författare)
-
Speeding up requirements management in a product software company: linking customer wishes to product requirements through linguistic engineering
- 2004
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Ingår i: Proceedings. 12th IEEE International Requirements Engineering Conference. - 0769521746 ; , s. 283-294
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Konferensbidrag (refereegranskat)abstract
- Developing large complex software products aimed for a broad market involves a great flow of wishes and requirements. The former are elicited from customers while the latter are brought forth by the developing organization. These are preferably kept separated to preserve the different perspectives. The interrelationships should however be identified and maintained to enable well-founded decisions. Unfortunately, the current manual linkage is cumbersome, time-consuming, and error-prone. This paper presents a pragmatic linguistic engineering approach to how statistical natural language processing may be used to support the manual linkage between customer wishes and product requirements by suggesting potential links. An evaluation with real requirements from industry is presented. It shows that in a realistic setting, automatic support could make linkage faster for at least 50% of the links. An estimation based on our evaluation also shows that considerable time savings are possible. The results, together with the identified enhancement, are promising for improving software quality and saving time in industrial requirements engineering
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