Fuzzy grey relational analysis for software effort estimation

Empirical Software Engineering

Volumn 15, Issue 1, 2010, Pages 60-90

  Azzeh, Mohammad ^a   Neagu, Daniel ^a   Cowling, Peter I ^a  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

Author keywords

Feature selection; Fuzzy set theory; Grey relational analysis; Similarity measurement; Software effort estimation by analogy

Indexed keywords

ACADEMIC RESEARCH; ARTIFICIAL NEURAL NETWORK; CATEGORICAL FEATURES; DATA SETS; DISTANCE MEASURE; ESTIMATION BY ANALOGY; FEATURE SELECTION; FUZZY-GREY RELATIONAL ANALYSIS; GREY RELATIONAL ANALYSIS; HUMAN PROBLEM SOLVING; MODEL-BASED; MULTIPLE LINEAR REGRESSIONS; ORDINAL SCALE; PROBLEM SOLVING METHODS; SIGNIFICANT IMPACTS; SIMILARITY DEGREE; SIMILARITY MEASURE; SOFTWARE EFFORT ESTIMATION; SOFTWARE INDUSTRY; SOFTWARE PROJECT;

CASE BASED REASONING; COMPUTER SOFTWARE SELECTION AND EVALUATION; ESTIMATION; FUZZY LOGIC; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; LINEAR REGRESSION; MODELS; NEURAL NETWORKS; OBJECT ORIENTED PROGRAMMING; SOFTWARE ENGINEERING; UNCERTAINTY ANALYSIS;

FUZZY SET THEORY;

EID: 76749129323     PISSN: 13823256     EISSN: 15737616     Source Type: Journal    
DOI: 10.1007/s10664-009-9113-0     Document Type: Article

References (37)

1. SJ Albrecht JR Gaffney 1983 Software function, source lines of code, and development effort prediction: a software science validation IEEE Transactions on Software Engineering 9 639 648 10.1109/TSE.1983.235271
2. Auer S, Biffl M (2004) Increasing the Accuracy and Reliability of Analogy-Based Effort Estimation with Extensive Project Feature Dimension Weighting, Proceedings of the International Symposium on Empirical Software Engineering (ISESE'04), pp 147-155
3. Azzeh M, Neagu D, Cowling P (2008a) Fuzzy Feature subset Selection for Software Effort Estimation, International workshop on software predictors PROMISE'08 (part of ICSE'08). Leipzig, Germany, pp 71-78
4. Azzeh M, Neagu D, Cowling P (2008b) Software project similarity measurement based on Fuzzy c-Means. International Conference on software process, Leipzig, pp 123-134
5. nd IEEE international conference on software engineering.
6. Boetticher G, Menzies T, Ostrand T (2007) PROMISE Repository of empirical software engineering data http://promisedata.org/ repository, West Virginia University, Department of Computer Science.
7. N-H Chiu S-J Huang 2007 The adjusted analogy-based software effort estimation based on similarity distances J Syst Software 80 628 640 10.1016/j.jss.2006.06.006 (Pubitemid 46329122)
8. Chen Z, Menzies T, Port D, Boehm B (2005) Feature subset selection can improve software effort estimation accuracy, workshop predictor models in software Eng. PROMISE '05. ACM, St. Louis, Missouri, USA, 1-6
9. J Deng 1989 Introduction to grey system theory J Grey Syst 1 1 24 0701.90057
10. J Deng 1989 Grey information space J Grey Syst 1 103 117 0722.94003
11. JJ Dolado 2001 On the problem of the software cost function Journal of Information and Software Technology 43 61 72 10.1016/S0950-5849(00)00137-3 (Pubitemid 32086790)
12. Haykin, S. (1999) Neural Networks: A Comprehensive Foundation, Prentice Hall, ISBN 0-13-273350-1.
13. Hsu CJ, Huang CY (2007) Improving Effort Estimation Accuracy by Weighted Grey relational Analysis During Software development, 14th Asia-Pacific Software Engineering Conference, pp. 534-541.
14. S-J Huang N-H Chiu L-W Chen 2007 Integration of the grey relational analysis with genetic algorithm for software effort estimation European Journal of operational and research 188 898 909 10.1016/j.ejor.2007.07.002
15. SJ Huang NH Chiu 2006 Optimization of analogy weights by genetic algorithm for software effort estimation Journal of Information & software technology 48 1034 1045 10.1016/j.infsof.2005.12.020 (Pubitemid 44485999)
16. Idri A, Abran A, Khoshgoftaar T (2001) Fuzzy Analogy: a New Approach for Software Effort Estimation, 11th International Workshop in Software Measurements, pp. 93-101.
17. ISBSG (2007) International Software Benchmarking standards Group, Data repository release 10, web site: http://www.isbsg.org (visited 20 August 2008).
18. M Jorgensen U Indahl D Sjoberg 2003 Software effort estimation by analogy and "regression toward the mean" J Syst Software 68 253 262 10.1016/S0164-1212(03)00066-9
19. CF Kemerer 1987 An empirical validation of software cost estimation models, Comm ACM 30 416 429 10.1145/22899.22906 (Pubitemid 17589082)
20. Keung J, Kitchenham B (2008) Experiments with Analogy-X for software cost estimation, 19th Australian Conference on software engineering, pp. 229-238.
21. Kirsopp C, Shepperd M (2002) Case and Feature Subset Selection in Case-Based Software Project Effort Prediction, Proceedings of 22nd International Conference on Knowledge-Based Systems and Applied Artificial Intelligence (SGAI'02).
22. Kirsopp C, Shepperd MJ, Hart J (2002) Search Heuristics, Case-based Reasoning and Software Project Effort Prediction, Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1367-1374.
23. Li J, Ruhe G (2008a) Multi-criteria decision analysis for customization of estimation by analogy method AQUA∈+∈, International workshop on software predictors PROMISE'08. Leipzig, Germany, pp 55-62
24. J Li G Ruhe 2008 Analysis of attribute weighting heuristics for analogy-based software effort estimation method AQUA+ Journal of Empirical Software Engineering 13 63 96 10.1007/s10664-007-9054-4
25. Liebchen G, Shepperd M (2008) Data sets and data Quality in software engineering, International workshop on software predictors PROMISE'08. Leipzig, Germany, pp 39-44
26. C Mair G Kadoda M Lefley K Phalp C Schofield M Shepperd S Webster 2000 an investigation of machine learning based prediction systems J Syst Software 53 23 29 10.1016/S0164-1212(00)00005-4 (Pubitemid 30917251)
27. Martin C L, Pasquier J L, Yanez C M, Gutierrez A T (2005) Software Development Effort Estimation Using Fuzzy Logic: A Case Study, proceeding of Sixth Mexican International Conference on Computer Science (ENC'05), pp. 113-120.
28. Mendes E, Mosley N, Counsell S (2003) A replicated assessment of the use of adaptation rules to improve Web cost estimation, International Symposium on Empirical Software Engineering, pp. 100-109.
29. E Mendes I Watson C Triggs N Mosley S Counsell 2003 A comparative study of Cost Estimation models for web hypermedia applications Journal of Empirical Software Engineering 8 163 193 10.1023/A:1023062629183
30. Mittas N, Athanasiades M, Angelis L (2007) improving analogy-based software cost estimation by a resampling Method, Journal of Information & software technology.
31. I Myrtveit E Stensrud 1999 A controlled experiment to assess the benefits of estimating with analogy and regression models IEEE transactions on software engineering 25 510 525 10.1109/32.799947
32. MJ Shepperd C Schofield 1997 Estimating software project effort using analogies IEEE Transaction on Software Engineering 23 736 743 10.1109/32.637387
33. Song Q, Shepperd M, Mair C (2005) Using Grey Relational Analysis to Predict Software Effort with Small Data Sets, Proceedings of the 11th International Symposium on Software Metrics (METRICS'05), pp. 35-45.
34. Tadayon N (2005) Neural Network Approach for Software Cost Estimation, International Conference on Information Technology: Coding and Computing (ITCC'05)-Volume II, pp. 815-818.
35. XL Xie G Beni 1991 A validity measure for Fuzzy clustering IEEE Transactions on Pattern Analysis Machine Intelligence 13 841 847 10.1109/34.85677 (Pubitemid 21704193)
36. Z Xu T Khoshgoftaar 2004 Identification of Fuzzy models of software effort estimation Journal of Fuzzy Sets and Systems 145 141 163 10.1016/j.fss.2003.10.008 2061944
37. L Zadeh 1997 Toward a theory of Fuzzy information granulation and its centrality in human reasoning and Fuzzy logic Journal Fuzzy sets and Systems 90 111 127 0988.03040 10.1016/S0165-0114(97)00077-8 1486256