Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Bosu, Michael"'
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering30(11&12)(2020). pp.1607-1640
Software effort estimation models are typically developed based on an underlying assumption that all data points are equally relevant to the prediction of effort for future projects. The dynamic nature of several aspects of the software engineering p
Externí odkaz:
http://arxiv.org/abs/2107.01616
Publikováno v:
Proceedings of the 22nd Australasian Software Engineering Conference (ASWEC2013). Melbourne, Australia, IEEE Computer Society Press, pp.97-106
Reliable empirical models such as those used in software effort estimation or defect prediction are inherently dependent on the data from which they are built. As demands for process and product improvement continue to grow, the quality of the data u
Externí odkaz:
http://arxiv.org/abs/2106.06141
Publikováno v:
Proceedings of the 2017 International Conference on Software Quality, Reliability and Security (QRS2017). Prague, Czech Republic, IEEE Computer Society Press, pp.340-351
Bellwether effect refers to the existence of exemplary projects (called the Bellwether) within a historical dataset to be used for improved prediction performance. Recent studies have shown an implicit assumption of using recently completed projects
Externí odkaz:
http://arxiv.org/abs/2105.14179
Publikováno v:
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering (EASE2013)
Context: The utility of prediction models in empirical software engineering (ESE) is heavily reliant on the quality of the data used in building those models. Several data quality challenges such as noise, incompleteness, outliers and duplicate data
Externí odkaz:
http://arxiv.org/abs/2105.10895
Autor:
Mensah, Solomon, Keung, Jacky, MacDonell, Stephen G., Bosu, Michael Franklin, Bennin, Kwabena Ebo
Publikováno v:
IEEE Transactions on Reliability 67(3)(2018), pp.1176-1198
Context: In addressing how best to estimate how much effort is required to develop software, a recent study found that using exemplary and recently completed projects [forming Bellwether moving windows (BMW)] in software effort prediction (SEP) model
Externí odkaz:
http://arxiv.org/abs/2105.07366
Publikováno v:
Proceedings of the 24th Australasian Software Engineering Conference (ASWEC2015). Adelaide, Australia, IEEE Computer Society Press, pp.78-87
End-users play an integral role in identifying requirements, validating software features' usefulness, locating defects, and in software product evolution in general. Their role in these activities is especially prominent in online application distri
Externí odkaz:
http://arxiv.org/abs/2103.07043
Publikováno v:
ACM Journal of Data and Information Quality 11(4), pp.1-38 (Article 19), (2019)
Data is a cornerstone of empirical software engineering (ESE) research and practice. Data underpin numerous process and project management activities, including the estimation of development effort and the prediction of the likely location and severi
Externí odkaz:
http://arxiv.org/abs/2012.10836
Publikováno v:
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering (SEKE2020)
Software effort estimation (SEE) models are typically developed based on an underlying assumption that all data points are equally relevant to the prediction of effort for future projects. The dynamic nature of several aspects of the software enginee
Externí odkaz:
http://arxiv.org/abs/2012.08692
Publikováno v:
The 32nd International Conference on Software Engineering & Knowledge Engineering, Virtual, 9 - 19 July, 2020
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 pro
Externí odkaz:
http://arxiv.org/abs/2012.01596
Publikováno v:
In Information and Software Technology February 2018 94:1-13
