Abstract
Over the last decade, the software engineering community has been discussing how to better support the planning, execution and analysis of controlled experiments. There is a growing interesting in this topic because it is a mean to meet empirical evidence facilitating the work of researchers. In this paper, we present a process-oriented environment proposed to support the conduction of controlled experiments in software engineering. We describe the desired requirements for such kind of experimental supporting environment and analyze how our experimental environment addresses these requirements.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sjøberg, D.I., Anda, B., Arisholm, E., Dybå, T., Jørgensen, M., Karahasanovic, A., Koren, E.F., Vokác, M.: Conducting Realistic Experiments in Software Engineering. In: ISESE (2002)
Hochstein, L., Nakamura, T., Shull, F., Zazworka, N., Basili, V.R., Zelkowitz, M.V.: An Environment for Conducting Families of Software Engineering Experiments. Advances in Computers 74, 175–200 (2008)
Jedlitschka, A., Ciolkowski, M., Pfahl, D.: Reporting Experiments in Software Engineering. In: Guide to Advanced Empirical Software Engineering. Springer Science+Business Media (2008)
Freire, M., Alencar, D., Campos, E., Medeiros, T., Aranha, E., Kulesza, U.: Automated Support for Controlled Experiments in Software Engineering: A Systematic Review. In: SEKE, Boston/USA (2013)
Arisholm, E., Sjøberg, D.I.K., Carelius, G.J., Lindsjørn, Y.: A Web-based Support Environment for Software Engineering Experiments. Nordic Journal of Computing 9(4), 231–247 (2002)
Travassos, G.H., Santos, P.S.M., Mian, P.G., Dias Neto, A.C., Biolchini, J.: An environment to support large scale experimentation in software engineering. In: 13th IEEE ICECCS, pp. 193–202 (2008)
Accioly, P.: Comparing Different Testing Strategies for Software Product Lines (Masters Thesis) Federal University of Pernambuco, Recife, Brasil (2012)
Budgen, D., Kitchenham, B., Charters, S., Gibbs, S., Pohthong, A., Keung, J., Brereton, P.: Lessons from Conducting a Distributed Quasi-experiment. In: SEKE (2013)
Solari, M.: Identifying Experimental Incidents in Software Engineering Replications. In: SEKE (2013)
Ciolkowski, M.: An Approach for Quantitative Aggregation of Evidence from Controlled Experiments in Software Engineering (PHD Thesis) Kaiserslautern (2013)
Freire, M., Accioly, P., Sizílio, G., Campos Neto, E., Kulesza, U., Aranha, E., Borba, P.: A Model-Driven Approach to Specifying and Monitoring Controlled Experiments in Software Engineering. In: Heidrich, J., Oivo, M., Jedlitschka, A., Baldassarre, M.T. (eds.) PROFES 2013. LNCS, vol. 7983, pp. 65–79. Springer, Heidelberg (2013)
Freire, M.A.: A Model-Driven Approach to Formalize and Support Controlled Experiments in Software Engineering. In: IDOESE, Baltimore (2013)
Freire, M., Kulesza, U., Aranha, E., Jedlitschka, A., Campos, E., Acuña, S., Gómez, M.: An Empirical Study to Evaluate a Domain Specific Language for Formalizing Software Engineering Experiments. In: SEKE, Vancouver (2014)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Freire, M., Sizílio, G., Campos, E., Kulesza, U., Aranha, E. (2014). A Process-Oriented Environment for the Execution of Software Engineering Experiments. In: Jedlitschka, A., Kuvaja, P., Kuhrmann, M., Männistö, T., Münch, J., Raatikainen, M. (eds) Product-Focused Software Process Improvement. PROFES 2014. Lecture Notes in Computer Science, vol 8892. Springer, Cham. https://doi.org/10.1007/978-3-319-13835-0_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-13835-0_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13834-3
Online ISBN: 978-3-319-13835-0
eBook Packages: Computer ScienceComputer Science (R0)