A systematic review of knowledge sharing challenges and practices in global software development

Zahedi, Mansooreh; Shahin, Mojtaba; Babar, Muhammad Ali

doi:10.1016/j.ijinfomgt.2016.06.007

Cited by 180 publications

(180 citation statements)

References 25 publications

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“…The methodology used for this review has benefited from the SLR guideline reported in [39]; there are no specific guidelines available for conducting MLR in SE. Hence, our study's methodology was inspired by the work reported in [40,41]. The study methodology involves three main phases: planning and designing the review protocol, conducting the review, and reporting the review.…”

Section: Methodsmentioning

confidence: 99%

A Multi-Vocal Review of Security Orchestration

2019

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Organizations use diverse types of security solutions to prevent cyber-attacks. Multiple vendors provide security solutions developed using heterogeneous technologies and paradigms. Hence, it is a challenging rather impossible to easily make security solutions to work an integrated fashion. Security orchestration aims at smoothly integrating multivendor security tools that can effectively and efficiently interoperate to support security staff of a Security Operation Centre (SOC). Given the increasing role and importance of security orchestration, there has been an increasing amount of literature on different aspects of security orchestration solutions. However, there has been no effort to systematically review and analyze the reported solutions. We report a Multivocal Literature Review that has systematically selected and reviewed both academic and grey (blogs, web pages, white papers) literature on different aspects of security orchestration published from January 2007 until July 2017. The review has enabled us to provide a working definition of security orchestration and classify the main functionalities of security orchestration into three main areas -unification, orchestration, and automation. We have also identified the core components of a security orchestration platform and categorized the drivers of security orchestration based on technical and socio-technical aspects. We also provide a taxonomy of security orchestration based on the execution environment, automation strategy, deployment type, mode of task and resource type. This review has helped us to reveal several areas of further research and development in security orchestration. CCS ConceptsGeneral and reference → Survey and overviews; Security and privacy; Software engineering Additional Key Words and PhraseSecurity orchestration, security automation, multivocal literature review, intelligent security assistant.

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Section: Methodsmentioning

confidence: 99%

A Multi-Vocal Review of Security Orchestration

2019

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“…Systematic literature review (SLR) is one of the research methods that constructed from identifying, evaluating, and interpreting process of the previous research studies about particular topic [6]. This paper were modified from previous SLR research by Zahedi et.al [6] that conducting three steps: defining review protocol, conducting review, and reporting review. The review protocol that we used to answer the research question contains search strategy, inclusion and exclusion criteria, study selection, study quality assessment, and data extraction.…”

Section: Methodsmentioning

confidence: 99%

Using Social Messenger in Knowledge Sharing Practice: A Literature Review

2017

IJCCIE

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“…The study of knowledge sharing has had an impact in fields like Sharing Architectural Knowledge [15,16], where architectural decision-making and has been shown to increase project consistency, coordination, and communication coherence over time. To understand knowledge sharing, we apply and distinguish different knowledge forms to communication channels.…”

Section: Motivationmentioning

confidence: 99%

A topological analysis of communication channels for knowledge sharing in contemporary GitHub projects

Tantisuwankul

Nugroho

Kula

et al. 2019

Journal of Systems and Software

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With over 28 million developers, success of the GitHub collaborative platform is highlighted through an abundance of communication channels among contemporary software projects. Knowledge is broken into two forms and its sharing (through communication channels) can be described as externalization or combination by the SECI model. Such platforms have revolutionized the way developers work, introducing new channels to share knowledge in the form of pull requests, issues and wikis. It is unclear how these channels capture and share knowledge. In this research, our goal is to analyze these communication channels in GitHub. First, using the SECI model, we are able to map how knowledge is shared through the communication channels. Then in a large-scale topology analysis of seven library package projects (i.e., involving over 70 thousand projects), we extracted insights of the different communication channels within GitHub. Using two research questions, we explored the evolution of the channels and adoption of channels by both popular and unpopular library package projects. Results show that (i) contemporary GitHub Projects tend to adopt multiple communication channels, (ii) communication channels change over time and (iii) communication channels are used to both capture new knowledge (i.e., externalization) and updating existing knowledge (i.e., combination).Recently, Aniche et al. [12] confirmed that news channels also play an important role in shaping and sharing knowledge among developers.In this paper, we investigate communication channels to understand how projects share knowledge at the software ecosystem level. Inspired by the knowledge-based theory of the firm [13], our hypothesis is to validate the underlying theory behind the transferable of knowledge within these library ecosystems, and to investigate how ecosystems influence social practices within and outside their ecosystems. To achieve our goal that is to analyze how communication channels share knowledge over projects, we first identify different knowledge forms of channels in over 210 thousand library projects from seven different library ecosystems. We then explore the evolution of these channels and distinguish differences between these seven ecosystems. Similar to a study by Lertwittayatrai et al. [14], we use topological data analysis to generate topologies that cover three years (i.e., 2015 to 2017). Using topology data analysis, the results of the study that (i) contemporary GitHub Projects tend to adopt multiple communication channels, (ii) communication channels change over time and (iii) communication channels are used to capture new knowledge (i.e., externalization) and updating existing knowledge.The contributions of the study are two-fold. First, we present a manual categorization of channels forms in software projects. The second contribution is a large-scale analysis of channels for software projects over seven ecosystems using the topological analysis of software library projects for seven different software ecosystems.The rest of the pa...

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A systematic review of knowledge sharing challenges and practices in global software development

Cited by 180 publications

References 25 publications

A Multi-Vocal Review of Security Orchestration

A Multi-Vocal Review of Security Orchestration

Using Social Messenger in Knowledge Sharing Practice: A Literature Review

A topological analysis of communication channels for knowledge sharing in contemporary GitHub projects

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