Towards a Computerized Infrastructure for Managing Experimental Software Engineering Knowledge

The growing interest in experimental studies in software engineering and the difficulties found in their execution had led software engineering researchers to look for ways to (semi) automate the experimental process. This paper introduces the concept of experimental Software Engineering Environment (eSEE) – an infrastructure capable of instantiating software engineering environments to manage knowledge about the definition, planning, execution and packaging of experimental studies in software engineering.

[1]  Walter Franz Tichy,et al.  Should Computer Scientists Experiment More? - 16 Excuses to Avoid Experimentation , 1997 .

[2]  Mark H. Ellisman,et al.  Data-intensive e-science frontier research , 2003, CACM.

[3]  Shari Lawrence Pfleeger,et al.  Albert Einstein and Empirical Software Engineering , 1999, Computer.

[4]  Forrest Shull,et al.  Building Knowledge through Families of Experiments , 1999, IEEE Trans. Software Eng..

[5]  Ana Regina Cavalcanti da Rocha,et al.  Domain-oriented software development environment , 2004, J. Syst. Softw..

[6]  Yngve Lindsjørn,et al.  A Web-Based Support Environment for Software Engineering Experiments , 2002, Nord. J. Comput..

[7]  M. N. Wicks Tool Integration in Software Engineering Environments , 2005 .

[8]  Jeffrey C. Carver,et al.  An empirical methodology for introducing software processes , 2001, ESEC/FSE-9.

[9]  Guilherme Horta Travassos,et al.  Tool-supported unobtrusive evaluation of software engineering process conformance , 2004, Proceedings. 2004 International Symposium on Empirical Software Engineering, 2004. ISESE '04..

[10]  Jeffrey C. Carver,et al.  Knowledge-Sharing Issues in Experimental Software Engineering , 2004, Empirical Software Engineering.

[11]  Guilherme Horta Travassos,et al.  Em Busca de uma Abordagem para Empacotamento de Experimentos em Engenharia de Software , 2002, JIISIC.

[12]  Tore Dybå,et al.  Conducting realistic experiments in software engineering , 2002, Proceedings International Symposium on Empirical Software Engineering.

[13]  G. Travassos,et al.  Contributions of In Virtuo and In Silico Experiments for the Future of Empirical Studies in Software Engineering , 2003 .