Open Collaborative Data - using OSS Principles to Share Data in SW Engineering

Runeson, Per

doi:10.1109/icse-nier.2019.00015

Cited by 12 publications

(10 citation statements)

References 13 publications

(17 reference statements)

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“…The roles can be further refined into data providers, service providers, data brokers, application developers, application users, and infrastructure and tool providers (Immonen, Palviainen, and Ovaska 2014;Kitsios, Papachristos, and Kamariotou 2017). The data provider is usually constituted by a public-sector organization (Oliveira, Lima, and Lóscio 2019) as data sharing from private actors is not as widespread (Runeson 2019). Services or functions needed include an infrastructure to share the data (preferably from multiple providers), documentation, tools for application developers, help in finding use-cases, as well as the possibility to discuss, provide feedback and make requests (Immonen, Palviainen, and Ovaska 2014;Zuiderwijk, Janssen, and Davis 2014;Dawes, Vidiasova, and Parkhimovich 2016).…”

Section: Software and Data Ecosystemsmentioning

confidence: 99%

“…One way of increasing access and availability of such data is to share it as Open Data (Attard et al 2015) and collaborate on its collection and maintenance as commonly done with Open Source Software (OSS) (Munir, Wnuk, and Runeson 2016). Such sharing of data is less common within the software industry (Runeson 2019), but more so among public entities (Safarov, Meijer, and Grimmelikhuijsen 2017). In the latter case, we refer to the openly shared data as Open Considering OSS ecosystems (commonly referred to as communities) (Franco-Bedoya et al 2017), open collaboration on the underpinning OSS projects is common practice.…”

Section: Introductionmentioning

confidence: 99%

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How to Enable Collaboration in Open Government Data Ecosystems: A Public Platform Provider’s Perspective

Linåker

Runeson

2021

JeDEM

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Open Government Data (OGD) is an important driver for open innovation among public entities. However, extant research highlights a need for improved feedback loops, collaboration, and a more demand-driven publication of OGD. In this study, we explore how public platform providers can address this issue by enabling collaboration within OGD ecosystems, both in terms of the OGD, and any related Open Source Software (OSS) and standards. We conducted an exploratory multiple-case study of four OGD ecosystems with diverse characteristics, using a qualitative research approach. Based on the cases, we present a conceptual model that highlights different attributes of OGD ecosystems that may help public entities in designing and orchestrating new or existing OGD ecosystems. We conclude that enabling collaboration in an OGD ecosystem is a complex exercise yet believe that it offers ways for public entities in how they can leverage open innovation to address their goals and directives.

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Section: Software and Data Ecosystemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How to Enable Collaboration in Open Government Data Ecosystems: A Public Platform Provider’s Perspective

Linåker

Runeson

2021

JeDEM

Self Cite

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“…95 We believe that any "company sensitive" knowledge or technology sooner or later become a commodity and therefore can be shared externally without the risk of losing valuable business assets-which is along the same lines of Runeson. 94 Hence, an interesting research topic is how to decide what to share and when.…”

Section: Sharing Experiences and Datamentioning

confidence: 99%

“…Chesbrough93 ). Runeson94 suggests the Open Collaborative Data concept where data is shared in open collaboration between organizations, similar to OSS, which we believe is an important research direction also for sharing experience across organizations.…”

mentioning

confidence: 99%

Towards evidence‐based decision‐making for identification and usage of assets in composite software: A research roadmap

Wohlin

Papatheocharous

Carlson

et al. 2021

J Software Evolu Process

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Software engineering is decision intensive. Evidence-based software engineering is suggested for decision-making concerning the use of methods and technologies when developing software. Software development often includes the reuse of software assets, for example, open-source components. Which components to use have implications on the quality of the software (e.g., maintainability). Thus, research is needed to support decision-making for composite software. This paper presents a roadmap for research required to support evidence-based decision-making for choosing and integrating assets in composite software systems. The roadmap is developed as an output from a 5-year project in the area, including researchers from three different organizations. The roadmap is developed in an iterative process and is based on (1) systematic literature reviews of the area; (2) investigations of the state of practice, including a case survey and a survey; and (3) development and evaluation of solutions for asset identification and selection. The research activities resulted in identifying 11 areas in need of research. The areas are grouped into two categories: areas enabling evidence-based decision-making and those related to supporting the decision-making. The roadmap outlines research needs in these 11 areas. The research challenges and research directions presented in this roadmap are key areas for further research to support evidence-based decision-making for composite software.

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“…However, when Capilla et al [5] recently investigated opportunities for reuse in Software Engineering, open data reuse was identified as one topic. Runeson [22] argues that data in Software Engineering can be divided into commodity, differentiating, and innovative, and proposes a research agenda for open collaborative data in Software Engineering. Beyond the division, infrastructure, licensing, governance, and privacy of open collaborative data are also presented as important topics.…”

Section: Open Source and Open Datamentioning

confidence: 99%

Open Data-driven Usability Improvements of Static Code Analysis and its Challenges

Söderberg

Church

Höst

2021

Evaluation and Assessment in Software Engineering

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Context: Software development is moving towards a place where data about development is gathered in a systematic fashion in order to improve the practice, for example, in tuning of static code analysis. However, this kind of data gathering has so far primarily happened within organizations, which is unfortunate as it tends to favor larger organizations with more resources for maintenance of developer tools. Objective: Over the years, we have seen a lot of benefits from open source and recently there has been a lot of development in open data. We see this as an opportunity for crossorganisation community building and wonder to what extent the views on using and sharing open source software developer tools carry across to open data-driven tuning of software development tools. Method: An exploratory study with 11 participants divided into 3 focus groups discussing using and sharing of static code analyzers and data about these analyzers. Results: While using and sharing open-source code (analyzers in this case) is perceived in a positive light as part of the practice of modern software development, sharing data is met with skepticism and uncertainty. Developers are concerned about threats to the company brand, exposure of intellectual property, legal liabilities, and to what extent data is context-specific to a certain organisation. Conclusions: Sharing data in software development is different from sharing data about software development. We need to better understand how we can provide solutions for sharing of software development data in a fashion that reduces risk and enables openness. CCS CONCEPTS• Information systems → Open source software; • Software and its engineering → Software verification and validation.

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Open Collaborative Data - using OSS Principles to Share Data in SW Engineering

Cited by 12 publications

References 13 publications

How to Enable Collaboration in Open Government Data Ecosystems: A Public Platform Provider’s Perspective

How to Enable Collaboration in Open Government Data Ecosystems: A Public Platform Provider’s Perspective

Towards evidence‐based decision‐making for identification and usage of assets in composite software: A research roadmap

Open Data-driven Usability Improvements of Static Code Analysis and its Challenges

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