Using Meta-ethnography to Synthesize Research: A Worked Example of the Relations between Personality and Software Team Processes

Silva, Fábio Q. B. da; Cruz, Shirley S. J. O.; Gouveia, Tatiana B.; Capretz, Luiz Fernando

doi:10.1109/esem.2013.11

Cited by 19 publications

(15 citation statements)

References 21 publications

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“…Qualitative metasummary can also serve as an intermediary research step, between a more superficial review and a deeper aggregative review. Meta-ethnographies [2], for example, are more suitable for the synthesis of a small set of consistently comparable studies, with respect to the objectives, conceptual background and contexts. In future works, the selection of this small set of studies can be based on the output of qualitative metasummaries effort.…”

Section: Resultsmentioning

confidence: 99%

“…However, although several systematic reviews in software engineering have largely mapped key research areas and identified open research questions in recent years, there are some limitations with its current use. A common critique to this type of review is that the syntheses of primary studies are often poorly conducted [1] [2]. However, full interpretive syntheses, such as those using metaethnography, require time, maturity of research team, experience with the methodology itself, and deep understanding of its philosophical stance [3].…”

Section: Introductionmentioning

confidence: 99%

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Using qualitative metasummary to synthesize empirical findings in literature reviews

Ribeiro

Cardoso

Silva

et al. 2014

Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

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Context-A common problem in Systematic Reviews in software engineering is that they provide very limited syntheses. Goal-In the search for alternatives of effective methods for synthesizing empirical evidence, in this paper, we explore the use of the Qualitative Metasummary method, which is a quantitatively oriented aggregation of mixed research findings. Method -We describe the use of qualitative metasummary through an example using 15 studies addressing antecedents of performance of software development teams. Qualitative metasummary includes extraction and grouping of findings, and calculation of frequency and intensity effect sizes. Results -The instance described in this paper produced a 10-factor model that effectively summarizes the current empirical knowledge on performance of software development teams. Then, we assessed the method in terms of ease of use, usefulness and reliability of results. Conclusion -The Qualitative Metasummary method offers rich indexes of experiences and events under investigation, focusing on the effects of a variable over other, which is consistent with the central interest of systematic reviews. However, its main limitations are (i) challenging comparability/integratability between primary studies, (ii) loss of detailed contextual information, (iii) and the great deal of effort demanded to synthesize larger sets of papers.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using qualitative metasummary to synthesize empirical findings in literature reviews

Ribeiro

Cardoso

Silva

et al. 2014

Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

View full text Add to dashboard Cite

show abstract

“…Meta-ethnography is the method of qualitative synthesis most widely used in health and education research. According to Kitchenham et al [13], there are three examples of software engineering systematic reviews that have employed metaethnography in order to synthesize the studies [11,12,25].…”

Section: Meta-ethnography Methodsmentioning

confidence: 99%

“…The original method does not define exactly how to do this. One suggestion is to compare the metaphors from study 1 with study 2, and the synthesis of these two studies with study 3, and so on [25]. (6) Synthesizing the translations -when the previous stage results in many metaphors, these can be compared to see if there are common types or if some metaphors can encompass others.…”

Section: Meta-ethnography Methodsmentioning

confidence: 99%

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Using meta-ethnography to synthesize research on knowledge management and agile software development methodology

Ruiz

Souza

Felizardo

et al. 2018

Proceedings of the XVII Brazilian Symposium on Software Quality

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Context: Software development processes are considered as knowledge intensive and therefore Knowledge Management (KM) can be applied to efficiently manage the knowledge generated. Agile practices can benefit the software organizations in terms of KM. Some studies have already presented evidence about this relationship. However, the intersection of these two areas still require further more clarification. Objective: This study aims to synthesize research on KM and Agile Software Development (ASD) using the meta-ethnography method. Method: In order to achieve the proposed goal, first, we applied the seven phases of meta-ethnography analysis method on a five articles selected from a tertiary study on KM and ASD. Second, the relations identified between the areas investigated were analysed from interviews with three agile development methodology experts. Results: A relation map that summarizes the synthesis identified between KM, agile values and scrum activities was created. Conclusion: There is a significant contribution in KM and ASD for both software engineering academics and industry. CCS CONCEPTS • Software and its engineering → Agile software development;

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Testing MapReduce programs: A systematic mapping study

Morán

Riva

Tuya

2018

J Software Evolu Process

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Summary Context MapReduce is a processing model used in Big Data to facilitate the analysis of large data under a distributed architecture. Objective The aim of this study is to identify and categorize the state of the art of software testing in MapReduce applications, determining trends and gaps. Method Systematic mapping study to discuss and classify according to international standards 54 relevant studies in relation to reasons for testing, types of testing, quality characteristics, test activities, tools, roles, processes, test levels, and research validations. Results The principal reasons for testing MapReduce applications are performance issues, potential failures, issues related to the data, or to satisfy the agreements with efficient resources. The efforts are focused on performance and, to a lesser degree, on functionality. Performance testing is carried out through simulation and evaluation, whereas functional testing considers some program characteristics (such as specification and structure). Despite the type of testing, the majority of efforts are focused at the unit and integration test levels of the specific MapReduce functions without considering other parts of the technology stack. Conclusions Researchers have both opportunities and challenges in performance and functional testing, and there is room to improve their research though the use of mature and standard validation methods.

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Using Meta-ethnography to Synthesize Research: A Worked Example of the Relations between Personality and Software Team Processes

Cited by 19 publications

References 21 publications

Using qualitative metasummary to synthesize empirical findings in literature reviews

Using qualitative metasummary to synthesize empirical findings in literature reviews

Using meta-ethnography to synthesize research on knowledge management and agile software development methodology

Testing MapReduce programs: A systematic mapping study

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