@article {11128948620160201,
	title = {Accuracy Comparison of Analogy-Based Software Development Effort Estimation Techniques.},
	journal = {International Journal of Intelligent Systems},
	volume = {31},
	number = {2},
	year = {2016},
	pages = {128 - 152},
	abstract = {Estimation by analogy is a commonly used software effort estimation technique and a suitable alternative to other conventional estimation techniques: It predicts the effort of the target project using information from former similar projects. While it is relatively easy to handle numerical attributes, dealing with categorical attributes is one of the most difficult issues for analogy-based estimation techniques. Therefore, we propose, in this paper, a novel analogy-based approach, called 2FA-kprototypes, to predict effort when software projects are described by a mix of numerical and categorical attributes. To this aim, the well-known fuzzy k-prototypes algorithm is integrated into the process of estimation by analogy. The estimation accuracy of 2FA-kprototypes was evaluated and compared with that of two techniques: (1) classical analogy-based technique and (2) 2FA-kmodes, which is a technique that we have developed recently. The comparison was performed using four data sets that are},
	keywords = {Algorithms, Artificial intelligence, Computer software development, Fuzzy control systems, Numerical analysis, Prototypes},
	issn = {08848173},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=111289486\&site=ehost-live},
	author = {Idri, Ali and Amazal, Fatima Azzahra and Abran, Alain}
}
@article { ISI:000365798200003,
	title = {Accuracy Comparison of Analogy-Based Software Development Effort Estimation Techniques},
	journal = {INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS},
	volume = {31},
	number = {2, SI},
	year = {2016},
	month = {FEB},
	pages = {128-152},
	abstract = {Estimation by analogy is a commonly used software effort estimation technique and a suitable alternative to other conventional estimation techniques: It predicts the effort of the target project using information from former similar projects. While it is relatively easy to handle numerical attributes, dealing with categorical attributes is one of the most difficult issues for analogy-based estimation techniques. Therefore, we propose, in this paper, a novel analogy-based approach, called 2FA-kprototypes, to predict effort when software projects are described by a mix of numerical and categorical attributes. To this aim, the well-known fuzzy k-prototypes algorithm is integrated into the process of estimation by analogy. The estimation accuracy of 2FA-kprototypes was evaluated and compared with that of two techniques: (1) classical analogy-based technique and (2) 2FA-kmodes, which is a technique that we have developed recently. The comparison was performed using four data sets that are quite diverse and have different sizes: ISBSG, COCOMO, USP05-FT, and USP05-RQ. The results obtained showed that both 2FA-kprototypes and 2FA-kmodes perform better than classical analogy. (C) 2015 Wiley Periodicals, Inc.},
	issn = {0884-8173},
	doi = {10.1002/int.21748},
	author = {Idri, Ali and Amazal, Fatima Azzahra and Abran, Alain}
}
@article { ISI:000347022800012,
	title = {Analogy-based software development effort estimation: A systematic mapping and review},
	journal = {INFORMATION AND SOFTWARE TECHNOLOGY},
	volume = {58},
	year = {2015},
	month = {FEB},
	pages = {206-230},
	abstract = {Context: Analogy-based Software development Effort Estimation (ASEE) techniques have gained considerable attention from the software engineering community. However, existing systematic map and review studies on software development effort prediction have not investigated in depth several issues of ASEE techniques, to the exception of comparisons with other types of estimation techniques. Objective: The objective of this research is twofold: (1) to classify ASEE studies which primary goal is to propose new or modified ASEE techniques according to five criteria: research approach, contribution type, techniques used in combination with ASEE methods, and ASEE steps, as well as identifying publication channels and trends and (2) to analyze these studies from five perspectives: estimation accuracy, accuracy comparison, estimation context, impact of the techniques used in combination with ASEE methods, and ASEE tools. Method: We performed a systematic mapping of studies for which the primary goal is to develop or to improve ASEE techniques published in the period 1990-2012, and reviewed them based on an automated search of four electronic databases. Results: In total, we identified 65 studies published between 1990 and 2012, and classified them based on our predefined classification criteria. The mapping study revealed that most researchers focus on addressing problems related to the first step of an ASEE process, that is, feature and case subset selection. The results of our detailed analysis show that ASEE methods outperform the eight techniques with which they were compared, and tend to yield acceptable results especially when combining ASEE techniques with Fuzzy Logic (FL) or Genetic Algorithms (GA). Conclusion: Based on the findings of this study, the use of other techniques such FL and GA in combination with an ASEE method is promising to generate more accurate estimates. However, the use of ASEE techniques by practitioners is still limited: developing more ASEE tools may facilitate the application of these techniques and then lead to increasing the use of ASEE techniques in industry. (C) 2014 Elsevier B.V. All rights reserved.},
	issn = {0950-5849},
	doi = {10.1016/j.infsof.2014.07.013},
	author = {Idri, Ali and Amazal, Fatima Azzahra and Abran, Alain}
}
@conference { ISI:000338165600142,
	title = {SOFTWARE COST ESTIMATION BY FUZZY ANALOGY FOR ISBSG REPOSITORY},
	booktitle = {UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING},
	series = {World Scientific Proceedings Series on Computer Engineering and Information Science},
	volume = {7},
	year = {2012},
	note = {10th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Istanbul, TURKEY, AUG 26-29, 2012},
	pages = {863-868},
	publisher = {Istanbul Tech Univ; Bahcesehir Univ; Belgian Nucl Res Ctr; Ghent Univ},
	organization = {Istanbul Tech Univ; Bahcesehir Univ; Belgian Nucl Res Ctr; Ghent Univ},
	abstract = {Software cost estimation is one of the most important and complex tasks in software project management. As a result, several techniques for estimating development effort have been suggested. Fuzzy Analogy is one of these techniques suggested to estimate project effort when it is described either by linguistic or numerical values. Based on reasoning by analogy and fuzzy logic, this technique uses fuzzy representation of software project attributes by using expert knowledge or clustering techniques. From this work, we evaluate the accuracy of this approach to estimate the software effort using the International Software Benchmarking Standards Group (ISBSG) repository.},
	isbn = {978-981-4417-73-0},
	author = {Idri, Ali and Amazal, Fatima Azzahra},
	editor = {Kahraman, C and Kerre, EE and Bozbura, FT}
}
