Abstract
This paper reports our extended analysis of the recent literature addressing global software engineering (GSE), using a new Systematic Snapshot Mapping (SSM) technique. The primary purpose of this work is to understand what issues are being addressed and how research is being carried out in GSE – and comparatively, what work is not being conducted. We carried out the analysis in two stages. In the first stage we analyzed 275 papers published between January 2011 and June 2012, and in the second stage we augmented our analysis by considering a further 26 papers (from the 2013 International Conference on Global Software Engineering (ICGSE’13). Our results reveal that, currently, GSE studies are focused on management- and infrastructure-related factors, using principally evaluative research approaches. Most of the studies are conducted at the organizational level, mainly using methods such as interviews, surveys, field studies and case studies. The USA, India and China are major players in GSE, with USA-India collaborations being the most frequently studied, followed by USA-China. While a considerable number of GSE-related studies have been published since January 2011 they are currently quite narrowly focused, on exploratory research and explanatory theories, and the critical research paradigm has been untouched. An absence of formulative research, experimentation and simulation, and a related focus on evaluative approaches, all suggest that existing tools, methods and approaches from related fields are being tested in the GSE context, even though these may not be inherently applicable to the additional scale and complexity of GSE.
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References
Šmite, D., Wohlin, C., Gorschek, T., Feldt, R.: Empirical evidence in global software engineering: a systematic review. Empirical Software Engineering 15, 91–118 (2009)
Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M.: Systematic Mapping Studies in Software Engineering. In: Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering, pp. 68–77 (2008)
Bailey, J., Budgen, D., Turner, M., Kitchenham, B., Brereton, P., Linkman, S.: Evidence relating to Object-Oriented software design: A survey. In: First International Symposium on Empirical Software Engineering and Measurement, pp. 482–484 (2007)
Fauzi, S.S.M., Bannerman, P.L., Staples, M.: Software Configuration Management in Global Software Development: A Systematic Map. In: Proceedings of the 17th Asia Pacific Software Engineering Conference, pp. 404–413 (2010)
Steinmacher, I., Chaves, A.P., Gerosa, M.A.: Awareness Support in Distributed Software Development: A Systematic Review and Mapping of the Literature. Computer Supported Cooperative Work 22, 113–158 (2013)
Jalali, S., Wohlin, C.: Agile Practices in Global Software Engineering - A Systematic Map. In: Proceedings of the 5th International Conference on Global Software Engineering, pp. 45–54 (2010)
Silva, F.Q.B., Prikladnicki, R., França, A.C.C., Monteiro, C.V.F., Costa, C., Rocha, R.: An evidence-based model of distributed software development project management: results from a systematic mapping study. Journal of Software: Evolution and Process 24, 625–642 (2012)
Portillo-Rodríguez, J., Vizcaíno, A., Piattini, M., Beecham, S.: Tools used in Global Software Engineering: A systematic mapping review. Information and Software Technology 54, 663–685 (2012)
Kitchenham, B., Charters, S.: Guidelines for performing Systematic Literature Reviews in Software Engineering. EBSE Technical Report EBSE-2007-01 (2007)
Glass, R.L., Vessey, I., Ramesh, V.: Research in software engineering: an analysis of the literature. Information and Software Technology 44, 491–506 (2002)
Richardson, I., Casey, V., McCaffery, F., Burton, J., Beecham, S.: A Process Framework for Global Software Engineering Teams. Information and Software Technology 54, 1175–1191 (2012)
Dieste, O., Padua, A.G.: Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews. In: First International Symposium on Empirical Software Engineering and Measurement, pp. 215–224 (2007)
Smite, D., Wohlin, C., Feldt, R., Gorschek, T.: Reporting Empirical Research in Global Software Engineering: A Classification Scheme. In: Proceedings of the Third International Conference on Global Software Engineering, pp. 173–181 (2008)
Guide to the Software Engineering Body of Knowledge. IEEE Computer Society (2004)
Clear, T., MacDonell, S.G.: Understanding technology use in global virtual teams: Research methodologies and methods. Information and Software Technology 53, 994–1011 (2011)
Myers, M.D., Klein, H.K.: A Set of Principles For Conducting Critical Research In Information Systems. MIS Quarterly 35, 17–36 (2011)
Gregor, S.: The nature of theory in information systems. MIS Quarterly 30, 611–642 (2006)
Smith, M.A., Shneiderman, B., Milic-Frayling, N., Mendes Rodrigues, E., Barash, V., Dunne, C., Capone, T., Perer, A., Gleave, E.: Analyzing (social media) networks with NodeXL. In: Proceedings of the Fourth International Conference on Communities and Technologies, pp. 255–263 (2009)
Dibbern, J., Goles, T., Hirschheim, R., Jayatilaka, B.: Information Systems Outsourcing: A Survey and Analysis of the Literature. ACM SIGMIS Database 35, 6–102 (2004)
Butler, N., Slack, F., Walton, J.: IS/IT Backsourcing - A Case of Outsourcing in Reverse? In: Proceedings of the 44th Hawaii International Conference on System Sciences, pp. 1–10 (2011)
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Raza, B., MacDonell, S.G., Clear, T. (2013). Research in Global Software Engineering: A Systematic Snapshot. In: Filipe, J., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2013. Communications in Computer and Information Science, vol 417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54092-9_9
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DOI: https://doi.org/10.1007/978-3-642-54092-9_9
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