Authors: Shull F.¹; Mendoncça M.G.²; Basili V.³; Carver J.⁴; Maldonado J.C.⁵; Fabbri S.⁶; Travassos G.H.⁷; Ferreira M.C.⁸

Source: Empirical Software Engineering, Volume 9, Numbers 1-2, March 2004 , pp. 111-137(27)

Publisher: Springer

Abstract:

Recently the awareness of the importance of replicating studies has been growing in the empirical software engineering community. The results of any one study cannot simply be extrapolated to all environments because there are many uncontrollable sources of variation between different environments.

In our work, we have reasoned that the availability of laboratory packages for experiments can encourage better replications and complementary studies. However, even with effectively specified laboratory packages, transfer of experimental know-how can still be difficult. In this paper, we discuss the collaboration structures we have been using in the Readers’ Project, a bilateral project supported by the Brazilian and American national science agencies that is investigating replications and transfer of experimental know-how issues. In particular, we discuss how these structures map to the Nonaka–Takeuchi knowledge sharing model, a well-known paradigm used in the knowledge management literature. We describe an instantiation of the Nonaka–Takeuchi Model for software engineering experimentation, establishing a framework for discussing knowledge sharing issues related to experimental software engineering. We use two replications to illustrate some of the knowledge sharing issues we have faced and discuss the mechanisms we are using to tackle those issues in Readers’ Project.

Keywords: Empirical software engineering; experimental design; experimental replication; software reading techniques

Document Type: Research article

DOI: http://dx.doi.org/10.1023/B:EMSE.0000013516.80487.33

Affiliations: 1: Fraunhofer Center for Experimental Software Engineering, 4321 Hartwick Road, Suite 500, College Park, MD 20740, Email: fshull@fc-md.umd.edu 2: Computer Networks Research Group (NUPERC), Salvador University (UNIFACS), Rua Ponciano de Oliveira, 126 Salvador, BA 41950-275, Brazil, Email: mgmn@unifacs.br 3: Fraunhofer Center for Experimental Software Engineering, Department of Computer Science, A.V. Williams Building, University of Maryland, College Park, MD 20742, Email: basili@fc-md.umd.edu 4: Department of Computer Science, A.V. Williams Building, University of Maryland, College Park, MD 20742, Email: carver@cs.umd.edu 5: Instituto de Ciências Matemáticas e de Computacção, Departmento de Ciências da Computacção e Estatística, Av. Trabalhador São-Carlense, 400 – Centro Caixa Postal 668, 13560-970 São Carlos, SP, Brazil, Email: jcmaldon@icmc.sc.usp.br 6: Universidade Federal de São Carlos, Departamento de Computacção, Rodovia Washington Luiz, km235, Caixa Postal 676, 13565-905 São Carlos, SP, Brazil, Email: sfabbri@dc.ufscar.br 7: Rua Primeiros Sonhos 101/304, Jardim Guanabara – Ilha do Governador, Rio de Janeiro, RJ, Brasil, 21941-240, Email: ght@cos.ufrj.br 8: Instituto de Ciências Matemáticas e de Computacção, Departamento de Ciências da Computacção e Estatística, Av. Trabalhador São-Carlense, 400 – Centro, Caixa Postal 668, 13560–970 São Carlos SP, Brazil, Email: cristina@icmc.usp.br

Publication date: 2004-03-01

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