
There are many problems associated with requirements engineering, including problems in defining the system scope, problems in fostering understanding among the different communities affected by the development of a given system, and problems in dealing with the volatile nature of requirements. These problems may lead to poor requirements and the cancellation of system development, or else the development of a system that is later judged unsatisfactory or unacceptable, has high maintenance costs, or undergoes frequent changes. By improving requirements elicitation, the requirements engineering process can be improved, resulting in enhanced system requirements and potentially a much better system. Requirements engineering can be decomposed into the activities of requirements elicitation, specification, and validation. Most of the requirements techniques and tools today focus on specification, i.e., the representation of the requirements. This report concentrates instead on elicitation concerns, those problems with requirements engineering that are not adequately addressed by specification techniques. An elicitation methodology is proposed to handle these concerns. This new elicitation methodology strives to incorporate the advantages of existing elicitation techniques while comprehensively addressing the activities performed during requirements elicitation. These activities include fact-finding, requirements gathering, evaluation and rationalization, prioritization, and integration. Taken by themselves, existing elicitation techniques are lacking in one or more of these areas.
FOS: Computer and information sciences, 89999 Information and Computing Sciences not elsewhere classified
FOS: Computer and information sciences, 89999 Information and Computing Sciences not elsewhere classified
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 94 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
