2nd international workshop on Realising Evidence-Based Software Engineering (REBSE-2): Overview and introduction

Proceedings - ICSE 2007 Workshops: Second International Workshop on Realising Evidence-Based Software Engineering, REBSE'07

Volumn , Issue , 2007, Pages

  Kitchenham, Barbara ^a   Brereton, Pearl ^a   Budgen, David ^b   Turner, Mark ^a  

^a KEELE UNIVERSITY   (United Kingdom)

^b DURHAM UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; INFORMATION TECHNOLOGY; INFORMATION USE; PROBLEM SOLVING; TECHNICAL PRESENTATIONS;

EVIDENCE-BASED PARADIGM; INTERNATIONAL WORKSHOPS; REALISING EVIDENCE-BASED SOFTWARE ENGINEERING (REBSE);

SOFTWARE ENGINEERING;

EID: 36949000075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/REBSE.2007.5     Document Type: Conference Paper

References (27)

1. J. Bailey, C. Zhang, D. Budgen, M. Turner, and S. Charters. Search Engine Overlaps: Do they agree or disagree? In Proceedings of REBSE-2 Workshop, ICSE 2007, May 2007.
2. V. Basili and S. Elbaum. Empirically Driven SE Research: State of the Art and Required Maturity. In Proceedings of ICSE 2006, page 32. ACM Press, 2006.
3. O. Brereton, B. Kitchenham, D. Budgen, M. Turner, and M. Khalil. Lessons from applying the Systematic Literature Review process within the Software Engineering domain. Journal of Systems & Software, 80(4):571-583, 2007.
4. D. Budgen and B. Kitchenham. Realising Evidence-Based Software Engineering: A Report from the Workshop held at ICSE 2005. Software Engineering Notes, 30(5):44, 2005. Full report published electronically by ACM Press.
5. D. Budgen, B. Kitchenham, S. Charters, M. Turner, P. Brereton, and S. Linkman. Preliminary results of a study of the completeness and clarity of structured abstracts. In EASE 2007: Evaluation & Assessment in Software Engineering, Apr. 2007. Accepted for EASE 2007.
6. T. Dybâ, V. Kampenes, and D. Sjøberg. A systematic review of statistical power in software engineering experiments. Information & Software Technology, 48(8):745-755, 2006.
7. S. Grimstad, M. Jørgensen, and K. Moløkken-Ostvold. Software effort estimation terminology: The tower of babel. Information & Software Technology, 48(4):302-310, 2006.
8. J. Hannay, D. Sjøberg, and T. Dybâ. A systematic review of theory use in software engineering experiments. IEEE Transactions on Software Engineering, 33(2):87-107, 2007.
9. A. Jedlitschka and D. Pfahl. Reporting guidelines for controlled experiments in software engineering. In Proc. ACM/IEEE International Symposium on Empirical Software Engineering (ISESE) 2005, pages 95-195. IEEE Computer Society Press, 2005.
10. M. Jørgensen. Evidence-based guidelines for assessment of software costs uncertainty. IEEE Transactions on Software Engineering, 31(11):942-954, 2005.
11. M. Jørgensen. Practical guidelines for expert-judgement-based software effort estimation. IEEE Software, 22(3):2-8, May 2005.
12. M. Jørgensen. Estimation of software development work effort: Evidence on expert judgement and formal models. Int. Journal of Forecasting, 2007. In press.
13. M. Jørgensen and M. Shepperd. A Systematic Review of Software Development Cost Estimation Studies. IEEE Tran. on Software Engineering, 33(1):33-53, 2007.
14. N. Juristo, A. Moreno, S. Vegas, and M. Solari. In search of what we experimentally know about unit testing. IEEE Software, 23(6):72-80, Nov. 2006.
15. V. Kampenes, T. Dybå, J. Hannay, and D. Sjøberg. A systematic review of effect size in software engineering experiments. Information & Software Technology, 2007. In press.
16. B. Kitchenham, H. Al-Khilidar, M. A. Babar, M. Berry, K. Cox, J. Keung, F. Kurniawati, M. Staples, H. Zhang, and L.Zhu. Evaluating guidelines for empirical software engineering studies. In Proceedings ACM/IEEE International Symposium on Empirical Software Engineering (ISESE 2006). IEEE Computer Society Press, 2006.
17. B. Kitchenham, T. Dybå, and M. Jørgensen. Evidence-based software engineering. In Proceedings of ICSE 2004, pages 273-281. IEEE Computer Society Press, 2004.
18. B. Kitchenham, E. Mendes, and G. Travassos. A systematic review of cross vs within company cost estimation studies. In Proceedings EASE 2006, pages 89-98. BCS, 2006.
19. B. Kitchenham, S. L. Pfleeger, L. Pickard, P. Jones, D. Hoaglin, K. E. Emam, and J.Rosenberg. Preliminary Guidelines for Empirical Research in Software Engineering. IEEE Transactions on Software Engineering, 28:721-734, 2002.
20. S. Koyani, R. Bailey, and J. Nail. Researchbased web design and usability guidelines. URL: http://usability.gov/pdfs/guidelines.html, 2006.
21. C. Mair and M. Shepperd. The consistency of empirical comparisons of regression and analogy-based software project cost prediction. In International Symposium on Empirical Software Engineering (ISESE 2005), 2005.
22. K. Moløkken-Østvold, M. Jørgensen, S. Tanilkan, H. Gallis, A. Lien, and S. Hove. A Survey on Software Estimation in the Norwegian Industry. In Proceedings 10th International Software Metrics Symposium (Metrics 2004), pages 208-219. IEEE Computer Society Press, 2004.
23. H. Petersson, T. Thelin, P. Runeson, and C. Wohlin. Capture-recapture in software inspections after 10 years research-theory, evaluation and application. Journal of Systems & Software, 72:249-264, 2004.
24. P. Runeson, C. Andersson, T. Thelin, A. Andrews, and T. Berling. What do we know about defect detection methods? IEEE Software, 23(3):82-86, 2006.
25. D. Sjøberg, J. Hannay, O. Hansen, V. Kampenes, A. Karahasanovic, N. Liborg, and A. Rekdal. A survey of controlled experiments in software engineering. IEEE Transactions on Software Engineering, 31(9):733-753, 2005.
26. P. Wernick and T. Hall. Getting the best out of software process simulation and empirical research in software engineering. In Proceedings of REBSE-2 Workshop, ICSE 2007, May 2007.
27. L. Zhu, M. Staples, and I. Gorton. An infrastructure for indexing and organizing best practices. In Proceedings of REBSE-2 Workshop, ICSE 2007, May 2007.