Potential and limitations of the ISBSG dataset in enhancing software engineering research: A mapping review

Information and Software Technology

Volumn 56, Issue 6, 2014, Pages 527-544

  Fernández Diego, Marta ^a   González Ladrón De Guevara, Fernando ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

ISBSG; Research methods; Software cost prediction; Software effort estimation; Software engineering; Systematic mapping study

Indexed keywords

COST BENEFIT ANALYSIS; COST ENGINEERING; COST ESTIMATING; ENGINEERING RESEARCH; LEARNING SYSTEMS; MAPPING; OBJECT ORIENTED PROGRAMMING; PAPER; SOFTWARE ENGINEERING;

ESTIMATION BY ANALOGY; INTERNATIONAL SOFTWARE BENCHMARKING STANDARDS GROUP; ISBSG; SOFTWARE COST; SOFTWARE EFFORT ESTIMATION; SYSTEMATIC MAPPING; SYSTEMATIC MAPPING STUDIES; WEALTH OF INFORMATION;

SOFTWARE DESIGN;

EID: 84897099090     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infsof.2014.01.003     Document Type: Review

References (37)

1. ISBSG, ISBSG Dataset Release 12, Int. Softw. Benchmarking Stand. Group., 2013.
2. E. Stensrud, T. Foss, B. Kitchenham, I. Myrtveit, An empirical validation of the relationship between the magnitude of relative error and project size, in: Proc. Eighth IEEE Symp. on Softw. Metr., 2002, pp. 3-12.
3. G.A. Liebchen, M. Shepperd, Data sets and data quality in software engineering, in: Proc. 4th Int. Workshop Predict. Models Softw. Eng. PROMISE, ACM, Leipzig, Germany, 2008, pp. 39-44.
4. W. Afzal, R. Torkar, R. Feldt, A systematic mapping study on non-functional search-based software testing, in: Proc. 20th Int. Conf. Softw. Eng. Knowl. Eng. SEKE'08 Knowl. Syst. Inst. Grad. Sch., 2008.
5. M. Petticrew, and H. Roberts Systematic Reviews in the Social Sciences: A Practical Guide 2006 John Wiley & Sons, Limited
6. B. Kitchenham, S. Charters, Guidelines for Performing Systematic Literature Reviews in Software Engineering, Software Engineering Group, School of Computer Science and Mathematics, Keele University, 2007.
7. K. Petersen, R. Feldt, S. Mujtaba, M. Mattsson, Systematic mapping studies in software engineering, in: 12th Int. Conf. Eval. Assess. Softw. Eng., 2008, p. 1.
8. D. Budgen, M. Turner, P. Brereton, B. Kitchenham, Using mapping studies in software engineering, in: Proc. PPIG, 2008, pp. 195-204.
9. B.A. Kitchenham, D. Budgen, P. Brereton, The value of mapping studies - a participant-observer case study, in: Proc. 14th Int. Conf. Eval. Assess. Softw. Eng. EASE'10, 2010.
10. S.T. Acuna, J.W. Castro, O. Dieste, N. Juristo, A systematic mapping study on the open source software development process, in: 16th Int. Conf. on Eval. Assess. Softw. Eng. EASE, 2012, pp. 42-46.
11. N. Asoudeh, Y. Labiche, Requirement-based software testing with the UML: a systematic mapping study, in: ICSEA 2012 Seventh Int. Conf. Softw. Eng. Adv., 2012, pp. 623-629.
12. H. Zhang, M.A. Babar, and P. Tell Identifying relevant studies in software engineering Inf. Softw. Technol. 53 2011 625 637
13. F. Elberzhager, J. Münch, and V.T.N. Nha A systematic mapping study on the combination of static and dynamic quality assurance techniques Inf. Softw. Technol. 54 2012 1 15
14. The Excellence in Research for Australia (ERA) Initiative, n.d.
15. M. Jorgensen, and M. Shepperd A systematic review of software development cost estimation studies IEEE Trans. Softw. Eng. 33 2007 33 53
16. Y. Yang, M. He, M. Li, Q. Wang, B. Boehm, Phase distribution of software development effort, in: Proc. Second ACM-IEEE Int. Symp. Empir. Softw. Eng. Meas., ACM, New York, NY, USA, 2008, pp. 61-69.
17. K.D. Maxwell Applied Statistics for Software Managers 2002 Prentice Hall
18. M. Shepperd, C. Schofield, B. Poole, Effort Estimation Using Analogy, 1996.
19. F. Walkerden, and R. Jeffery An empirical study of analogy-based software effort estimation Empir. Softw Eng. 4 1999 135 158
20. M.A. Ahmed, and Z. Muzaffar Handling imprecision and uncertainty in software development effort prediction: a type-2 fuzzy logic based framework Inf. Softw. Technol. 51 2009 640 654
21. Z. Muzaffar, and M.A. Ahmed Software development effort prediction: a study on the factors impacting the accuracy of fuzzy logic systems Inf. Softw. Technol. 52 2010 92 109
22. M. Bundschuh, and C. Dekkers The IT Measurement Compendium 2008 Springer
23. C. Mair, M. Shepperd, M. Jørgensen, An analysis of data sets used to train and validate cost prediction systems, in: Proc. 2005 Workshop Predict. Models Softw. Eng., ACM, St. Louis, Missouri, 2005, pp. 1-6.
24. J.M. Desharnais, Analyse Statistique de la Productivite des Projets de Developpement en Informatique a Partir de la Technique des Points de Fonction, maîtrise informatique de gestion, Univ. Quebec Montr., 1988.
25. B.W. Boehm Software Engineering Economics 1981 Pearson Education
26. C.F. Kemerer An empirical validation of software cost estimation models Commun. ACM 30 1987 416 429
27. A.J. Albrecht, and J.E. Gaffney Jr. Software function, source lines of code, and development effort prediction: a software science validation IEEE Trans. Softw. Eng. 1983 639 648
28. G. Boetticher, T. Menzies, T. Ostrand, PROMISE Repository of Empirical Software Engineering Data, W. Va. Univ. Dep. Comput. Sci., 2007.
29. E. Mendes, I. Watson, C. Triggs, N. Mosley, and S. Counsell A comparative study of cost estimation models for web hypermedia applications Empir. Softw. Eng. 8 2003 163 196
30. R. Premraj, M. Shepperd, B. Kitchenham, P. Forselius, An empirical analysis of software productivity over time, in: 11th IEEE Int. Symp. Softw. Metr., 2005, p. 10.
31. Y. Kultur, B. Turhan, A.B. Bener, ENNA: software effort estimation using ensemble of neural networks with associative memory, in: Proc. 16th ACM SIGSOFT Int. Symp. Found. Softw. Eng., 2008, pp. 330-338.
32. A. Abran, and P.N. Robillard Function points analysis: an empirical study of its measurement processes IEEE Trans. Softw. Eng. 22 1996 895 910
33. M. He, M. Li, Q. Wang, Y. Yang, and K. Ye An investigation of software development productivity in China Mak. Glob. Distrib. Softw. Dev. Success Story 2008 Springer 381 394
34. C. Robson Real World Research: A Resource for Social Scientists and Practitioner-Researchers 2002 Wiley
35. B. Littlewood, P. Popov, and L. Strigini Modeling software design diversity: a review ACM Comput Surv. 33 2001 177 208
36. Y.-S. Seo, and D.-H. Bae On the value of outlier elimination on software effort estimation research Empir. Softw. Eng. 18 2013 659 698
37. T. Dyba, T. Dingsoyr, G.K. Hanssen, Applying systematic reviews to diverse study types: an experience report, in: First Int. Symp. on Empir. Softw. Eng. Meas. 2007 (ESEM 2007), 2007, pp. 225-234.