Time-aware models for software effort estimation

Bosu, Michael Franklin and MacDonell, Stephen G. and Whigham, Peter (2020) Time-aware models for software effort estimation. The 32nd International Conference on Software Engineering & Knowledge Engineering, Virtual, 9 - 19 July, 2020.

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Abstract or Summary

It seems logical to assert that the dynamic nature of software engineering practice would mean that software effort estimation (SEE) modelling should take into account project start and completion dates. That is, we should build models for future projects based only on data from completed projects; and we should prefer data from recent similar projects over data from older similar projects. Research in SEE modelling generally ignores these recommendations. In this study two different model development approaches that take project timing into account are applied to two publicly available datasets and the outcomes are compared to those drawn from three baseline (non-time-aware) models. Our results indicate: that it is feasible to build accurate effort estimation models using project timing information; that the models differ from those built without considering time, in terms of the parameters included and their weightings; and that there is no statistical significance difference as to which of the two model building approaches is superior in terms of accuracy.

Item Type:Paper presented at a conference, workshop or other event, and published in the proceedings
Keywords that describe the item:empirical software engineering, software engineering decision support, software effort estimation, time-aware models
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
ID Code:7382
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Deposited On:10 Aug 2020 02:25
Last Modified:10 Aug 2020 02:25

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