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A case study validation of a knowledge-based approach for the selection of requirements engineering techniques

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Abstract

Requirements engineering (RE) is a critical phase in the software engineering process and plays a vital role in ensuring the overall quality of a software product. Recent research has shown that industry increasingly recognizes the importance of good RE practices and the use of appropriate RE techniques. However, due to the large number of RE techniques, requirements engineers find it challenging to select suitable techniques for a particular project. Unfortunately, technique selection based on personal experience has limitations with regards to the scope, effectiveness and suitability of the RE techniques for the project at hand. In this paper, a Knowledge-based Approach for the Selection of Requirements Engineering Techniques (KASRET) is proposed that helps during RE techniques selection. This approach has three major features. First, a library of requirements techniques was developed which includes detailed knowledge about RE techniques. Second, KASRET integrates advantages of different knowledge representation schemata and reasoning mechanisms. Thus, KASRET provides mechanisms for the management of knowledge about requirements techniques and support for RE process development. Third, as a major decision support mechanism, an objective function evaluates the overall ability and cost of RE techniques, which is helpful for the selection of RE techniques. This paper makes not only a contribution to RE but also to research and application of knowledge management and decision support in process development. A case study using an industrial project shows the support of KASRET for RE techniques selection.

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Notes

  1. CORE stands for Concerns of Requirements Engineering Process. The major COREs model was developed in our earlier research [6, 18] and is an RE process assessment model which provides information about the overall quality of the developed RE process. It can also be used to assess the overall capability of RE techniques. More details on this model will be given in Sect. 3.2.2.2.

  2. A mature technique refers to a technique that is well-defined and has systematic steps or a well-defined collection of notations, is well-organized and documented, and has been used in industrial projects.

  3. A guideline is a statement or an instruction about the best techniques to be chosen or best actions to be taken under certain conditions. Compared to rules, guidelines are not compulsory.

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Acknowledgements

The authors would like to thank the editors and the 4 anonymous reviewers for their very detailed and valuable comments that helped improve this paper.

Author information

Authors and Affiliations

  1. School of Computer Science, The University of Adelaide, Adelaide, SA, 5005, Australia

    Li Jiang

  2. Computer Engineering Department, American University of Sharjah, P.O. Box 26666, Sharjah, United Arab Emirates

    Armin Eberlein

  3. Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive, N.W. Calgary, AB, Canada, T2N 1N4

    Behrouz H. Far

Authors
  1. Li Jiang
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  2. Armin Eberlein
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  3. Behrouz H. Far
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Corresponding author

Correspondence to Armin Eberlein.

Appendix

Appendix

Table 14.

Table 14 Acronyms/symbols and their definition
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Jiang, L., Eberlein, A. & Far, B.H. A case study validation of a knowledge-based approach for the selection of requirements engineering techniques. Requirements Eng 13, 117–146 (2008). https://doi.org/10.1007/s00766-007-0060-2

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