scholarly journals How Workspaces Influence Software Development? Preliminary Results of a Systematic Literature Review

2019 ◽  
Author(s):  
Victor G. J. Costa ◽  
Cesár França
Keyword(s):  
Software Engineering ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Preliminary Results ◽  
Physical Elements

This work brings to light the preliminary results of a literature review showing what physical elements of workspaces have been studied in software engineering, and what are their known impacts on software development performance. A systematic literature review has been conducted, covering a period of 16 years of publications in software engineering field. Seven dimensions of workspace factors were mapped and we present the impacts of these factors on elements of software development performance, such as communication and collaboration. This article evidences the fact that there is not a generally accepted best model for software development workspaces, and that there is still much room for investigation in this topic

scholarly journals Big data in software engineering: A systematic literature review

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Selami Bagriyanik ◽  
Adem Karahoca
Keyword(s):  
Big Data ◽  
Software Engineering ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Stress Test ◽  
Streaming Data ◽  
Functional Regression ◽  
Application Development ◽  
Release Management

Purpose of Study: We investigate the big data studies using batch and/or streaming data generated in the process of software development lifecycle. All phases of application development phases are in our scope including but not limited to elicitation, requirements analysis, design, software implementation, version control management, unit / functional / regression / automated / performance / stress test, release management, application log monitoring,  application usage monitoring, user complaint management, security and compliance management and software problem management.Methods: We use a systematic literature review methodology used in Software Engineering studies to find and analyse the related studies published from January 2010 to October 2015. We synthesize the quantitative and qualitative outputs of selected papers and report the results.Findings and Results: In general, there are scarce studies in the literature. However there are relatively more papers regarding some areas such as Software Quality, Development, Project Management and Human Computer Interaction. However research in some fields such as Deployment, Requirements Engineering, Release Management and Mobile Applications were relatively less. Conclusions & Recommendations: More studies are required to identify the use cases, data attributes, measurements, platform requirements especially in the fields which are identified as having lack of study.  A holistic big data perspective is needed to support software engineering ecosystems in large and complex enterprises. Keywords: Big Data, Software Engineering, Software Analytics, Data Mining, Software Development, Operational Intelligence, Software Archaeology

Intelligent software engineering in the context of agile software development: A systematic literature review

2020 ◽  
Vol 119 ◽  
pp. 106241
Author(s):  
Mirko Perkusich ◽  
Lenardo Chaves e Silva ◽  
Alexandre Costa ◽  
Felipe Ramos ◽  
Renata Saraiva ◽  
...  
Keyword(s):  
Software Engineering ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Agile Software Development ◽  
Intelligent Software ◽  
Agile Software

A systematic literature review on crowdsourcing in software engineering

2019 ◽  
Vol 153 ◽  
pp. 200-219 ◽  
Author(s):  
Aslı Sarı ◽  
Ayşe Tosun ◽  
Gülfem Işıklar Alptekin
Keyword(s):  
Software Engineering ◽  
Literature Review ◽  
Systematic Literature Review

Process Mining Perspectives in Software Engineering: A Systematic Literature Review

2021 ◽  
Author(s):  
Silvia Jaqueline Urrea-Contreras ◽  
Brenda L. Flores-Rios ◽  
Maria Angelica Astorga-Vargas ◽  
Jorge E. Ibarra-Esquer
Keyword(s):  
Software Engineering ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Process Mining
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