The value of mapping studies: a participantobserver case study
作者： Barbara A. Kitchenham , David Budgen , O. Pearl Brereton
关键词: Rigour 、 Engineering 、 Participant observation 、 Mapping study 、 Systematic review 、 Completeness (statistics) 、 Management science
摘要: We are strong advocates of evidence-based software engineering (EBSE) in general and systematic literature reviews (SLRs) particular. believe it is essential that the SLR methodology being used constructively to support research. Aim: This study aims assess value mapping studies which a form identify categorise available research on specific topic. Methods: use multi-case, participant observer case using five examples were based preceding studies. Results: identified 13 unique benefits can accrue from basing only 2 specific. also 9 problems associated with two Conclusions: Mapping save time effort for researchers provide baselines assist new efforts. However, they must be high quality terms completeness rigour if reliable basis follow-on
scienceopen.com
acm.org 
researchgate.net 
sci-hub.st 参考文章(27)
Kai Petersen, Robert Feldt, Shahid Mujtaba, Michael Mattsson, Systematic mapping studies in software engineering evaluation and assessment in software engineering. pp. 68- 77 ,(2008) , 10.14236/EWIC/EASE2008.8
Oswaldo Gómez, Hanna Oktaba, Mario Piattini, Félix García, A Systematic Review Measurement in Software Engineering: State-of-the-Art in Measures Communications in Computer and Information Science. pp. 165- 176 ,(2006) , 10.1007/978-3-540-70621-2_14
Jean Hartley, Case study research Sage Publications Ltd. ,(2004)
Robert K. Yin, Case Study Research: Design and Methods ,(1984)
David Budgen, Barbara A. Kitchenham, Stuart M. Charters, Mark Turner, Pearl Brereton, Stephen G. Linkman, Presenting software engineering results using structured abstracts: a randomised experiment Empirical Software Engineering. ,vol. 13, pp. 435- 468 ,(2008) , 10.1007/S10664-008-9075-7
Magne Jorgensen, Tore Dyba, Barbara Kitchenham, Teaching evidence-based software engineering to university students ieee international software metrics symposium. pp. 24- ,(2005) , 10.1109/METRICS.2005.46
J.E. Hannay, M. Jorgensen, The Role of Deliberate Artificial Design Elements in Software Engineering Experiments IEEE Transactions on Software Engineering. ,vol. 34, pp. 242- 259 ,(2008) , 10.1109/TSE.2008.13
Rialette Pretorius, David Budgen, A mapping study on empirical evidence related to the models and forms used in the uml empirical software engineering and measurement. pp. 342- 344 ,(2008) , 10.1145/1414004.1414076
Cagatay Catal, Banu Diri, A systematic review of software fault prediction studies Expert Systems With Applications. ,vol. 36, pp. 7346- 7354 ,(2009) , 10.1016/J.ESWA.2008.10.027
A.D. Neto, R. Subramanyan, M. Vieira, G.H. Travassos, F. Shull, Improving Evidence about Software Technologies: A Look at Model-Based Testing IEEE Software. ,vol. 25, pp. 10- 13 ,(2008) , 10.1109/MS.2008.64