Predicting software stability using case-based reasoning
Predicting stability in object-oriented (OO) software, i.e., the ease with which a software item can evolve while preserving its design, is a key feature for software maintenance. We present a novel approach which relies on the case-based reasoning (CBR) paradigm. Thus, to predict the chances of an...
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| creator | Grosser, D. Sahraoui, H.A. Valtchev, P. |
| description | Predicting stability in object-oriented (OO) software, i.e., the ease with which a software item can evolve while preserving its design, is a key feature for software maintenance. We present a novel approach which relies on the case-based reasoning (CBR) paradigm. Thus, to predict the chances of an OO software item breaking downward compatibility, our method uses knowledge of past evolution extracted from different software versions. A comparison of our similarity-based approach to a classical inductive method such as decision trees, is presented which includes various tests on large datasets from existing software. |
| doi_str_mv | 10.1109/ASE.2002.1115033 |
| format | Conference Proceeding |
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| ispartof | ASE 2002 : 17th IEEE International Conference on Automated Software Engineering : proceedings : 23-27 November, 2002, Edinburgh, UK, 2002, p.295-298 |
| issn | 1938-4300 2643-1572 |
| language | eng |
| recordid | cdi_ieee_primary_1115033 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer industry Decision trees Object oriented programming Predictive models Q factor Software engineering Software maintenance Software quality Software testing Stability |
| title | Predicting software stability using case-based reasoning |
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