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A value-based approach for documenting design decisions rationale: a replicated experiment
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International Conference on Software Engineering archive
Proceedings of the 3rd international workshop on Sharing and reusing architectural knowledge table of contents
Leipzig, Germany
SESSION: Knowledge modeling and concepts table of contents
Pages 63-70  
Year of Publication: 2008
ISBN:978-1-60558-038-8
Authors
Davide Falessi  University of Roma Tor Vergata, Rome, Italy
Rafael Capilla  University Rey Juan Carlos, Madrid, Spain
Giovanni Cantone  University of Roma Tor Vergata, Rome, Italy
Sponsors
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

The explicit documentation of the rationale of design decisions is a practice generally encouraged but rarely implemented in industry because of a variety of inhibitors. Known methods for Design Decisions Rationale Documentation (DDRD) are aimed to maximize the benefits for practitioners who should utilize the DDRD by imposing the burden on the developers of documenting all the potentially useful information. In our view, the adoption of a tailored DDRD, consisting only of the required set of information, would mitigate the effects of DDRD inhibitors. This paper focuses on confirming empirically the feasibility of a value-based approach for documenting the rationale behind design decisions, and the importance of different DDRD information categories. In this context, this work describes a replicated experiment carried out at the University Rey Juan Carlos of Madrid (Spain) aimed to validate previous results from an analogous study conducted at the University of Roma Tor Vergata (Italy). Results confirm that the level of utility related to the same category of DDRD information significantly changes depending on its purpose.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Davide Falessi: colleagues
Rafael Capilla: colleagues
Giovanni Cantone: colleagues