Software engineering metrics and models
Software engineering metrics and models
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
A comparison of case-based reasoning approaches
Proceedings of the 11th international conference on World Wide Web
A Discipline for Software Engineering
A Discipline for Software Engineering
Three great challenges for half-century-old computer science
Journal of the ACM (JACM)
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Estimating Software Project Effort by Analogy Based on Linguistic Values
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
An Empirical Validation of the Relationship Between the Magnitude of Relative Error and Project Size
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics)
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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.