Abstract
No single software development estimation technique is best for all situations. A careful comparison of the results of several approaches is most likely to produce realistic estimates. On the other hand, unless engineers have the capabilities provided by personal training, they cannot properly support their teams or consistently and reliably produce quality products. In this paper, an investigation aimed to compare a personal Fuzzy Logic System (FLS) with linear regression is presented. The evaluation criteria are based upon ANOVA of MRE and MER, as well as MMRE, MMER and pred(25). One hundred five programs were developed by thirty programmers. From these programs, a FLS is generated for estimating the effort of twenty programs developed by seven programmers. The adequacy checking as well as a validation of the FLS are made. Results show that a FLS can be used as an alternative for estimating the development effort at personal level.
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Lopez-Martin, C., Yáñez-Márquez, C., Gutierrez-Tornes, A. (2006). A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_12
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DOI: https://doi.org/10.1007/11925231_12
Publisher Name: Springer, Berlin, Heidelberg
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