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  • 1.
    Butler, Simon
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Gamalielsson, Jonas
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Lundell, Björn
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Brax, Christoffer
    Combitech AB, Linköping, Sweden.
    Mattsson, Anders
    Husqvarna AB, Huskvarna, Sweden.
    Gustavsson, Tomas
    PrimeKey Solutions AB, Stockholm, Sweden.
    Feist, Jonas
    RedBridge AB, Stockholm, Sweden.
    Lönroth, Erik
    Scania IT AB, Södertälje, Sweden.
    Maintaining interoperability in open source software: A case study of the Apache PDFBox project2020Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 159, artikkel-id 110452Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Software interoperability is commonly achieved through the implementation of standards for communication protocols or data representation formats. Standards documents are often complex, difficult to interpret, and may contain errors and inconsistencies, which can lead to differing interpretations and implementations that inhibit interoperability. Through a case study of two years of activity in the Apache PDFBox project we examine day-to-day decisions made concerning implementation of the PDF specifications and standards in a community open source software (OSS) project. Thematic analysis is used to identify semantic themes describing the context of observed decisions concerning interoperability. Fundamental decision types are identified including emulation of the behaviour of dominant implementations and the extent to which to implement the PDF standards. Many factors influencing the decisions are related to the sustainability of the project itself, while other influences result from decisions made by external actors, including the developers of dependencies of PDFBox. This article contributes a fine grained perspective of decision-making about software interoperability by contributors to a community OSS project. The study identifies how decisions made support the continuing technical relevance of the software, and factors that motivate and constrain project activity. 

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  • 2.
    Gamalielsson, Jonas
    et al.
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för informationsteknologi.
    Lundell, Björn
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för informationsteknologi.
    Sustainability of Open Source software communities beyond a fork: How and why has the LibreOffice project evolved?2014Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 89, nr 1, s. 128-145Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Many organisations are dependent upon long-term sustainable software systems and associated communities. In this paper we consider long-term sustainability of Open Source software communities in Open Source software projects involving a fork. There is currently a lack of studies in the literature that address how specific Open Source software communities are affected by a fork. We report from a study aiming to investigate the developer community around the LibreOffice project, which is a fork from the OpenOffice.org project. In so doing, our analysis also covers the OpenOffice.org project and the related Apache OpenOffice project. The results strongly suggest a long-term sustainable LibreOffice community and that there are no signs of stagnation in the LibreOffice project 33 months after the fork. Our analysis provides details on developer communities for the LibreOffice and Apache OpenOffice projects and specifically concerning how they have evolved from the OpenOffice.org community with respect to project activity, developer commitment, and retention of committers over time. Further, we present results from an analysis of first hand experiences from contributors in the LibreOffice community. Findings from our analysis show that Open Source software communities can outlive Open Source software projects and that LibreOffice is perceived by its community as supportive, diversified, and independent. The study contributes new insights concerning challenges related to long-term sustainability of Open Source software communities.

  • 3.
    Lundell, Björn
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Lings, Brian
    Högskolan i Skövde, Institutionen för kommunikation och information. School of Engineering, Computer Science and Mathematics, University of Exeter, England.
    Changing perceptions of CASE-technology2004Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 72, nr 2, s. 271-280Artikkel, forskningsoversikt (Fagfellevurdert)
    Abstract [en]

    The level to which CASE technology has been successfully deployed in IS and software development organisations has been at best variable. Much has been written about an apparent mismatch between user expectations of the technology and the products which are developed for the growing marketplace. In this paper we explore how this tension has developed over time, with the aim of identifying and characterising the major factors contributing to it. We identify three primary themes: volatility and plurality in the marketplace; the close relationship between tools and development methods; and the context sensitivity of feature assessment. By exploring the tension and developing these themes we hope to further the debate on how to improve evaluation of CASE prior to adoption.

  • 4.
    Lundell, Björn
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Lings, Brian
    Certus Technology Associates, UK.
    Syberfeldt, Anna
    Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
    Practitioner perceptions of Open Source software in the embedded systems area2011Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 84, nr 9, s. 1540-1549Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    There is a growing body of research to show that, with the advent of so-called professional Open Source, attitudes within many organisations towards adopting Open Source software have changed. However, there have been conflicting reports on the extent to which this is true of the embedded software systems sector--a large sector in Europe. This paper reports on attitudes towards Open Source software within that sector. Our results show a high level of acceptance of Open Source products with large, well established communities, and not only at the level of the operating system. Control over the software is seen as fundamentally important. Other key perceptions with Open Soure are an easing of long-term maintenance problems and ready availability of support. The classical strenghts of Open Source, namely mass inspection, ease of conducting trials, longevity and source code access for debugging, were at the forefront of thinking. However, there was an acknowledgement that more guidelines are needed for accessing Open Source software and incoprporating it into products.

  • 5.
    Rana, Rakesh
    et al.
    Department of Computer Science & Engineering, Chalmers, University of Gothenburg, Göteborg, Sweden.
    Staron, Miroslaw
    Department of Computer Science & Engineering, Chalmers, University of Gothenburg, Göteborg, Sweden.
    Berger, Christian
    Department of Computer Science & Engineering, Chalmers, University of Gothenburg, Göteborg, Sweden.
    Hansson, Jörgen
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Nilsson, Martin
    Volvo Car Group, Göteborg, Sweden.
    Meding, Wilhelm
    Ericsson SW Research, Ericsson AB, Gothenburg, Sweden.
    Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects2016Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 117, s. 229-244Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Tracking and predicting quality and reliability is a major challenge in large and distributed software development projects. A number of standard distributions have been successfully used in reliability engineering theory and practice, common among these for modeling software defect inflow being exponential, Weibull, beta and Non-Homogeneous Poisson Process (NHPP). Although standard distribution models have been recognized in reliability engineering practice, their ability to fit defect data from proprietary and OSS software projects is not well understood. Lack of knowledge about underlying defect inflow distribution also leads to difficulty in applying Bayesian based inference methods for software defect prediction. In this paper we explore the defect inflow distribution of total of fourteen large software projects/release from two industrial domain and open source community. We evaluate six standard distributions for their ability to fit the defect inflow data and also assess which information criterion is practical for selecting the distribution with best fit. Our results show that beta distribution provides the best fit to the defect inflow data for all industrial projects as well as majority of OSS projects studied. In the paper we also evaluate how information about defect inflow distribution from historical projects is applied for modeling the prior beliefs/experience in Bayesian analysis which is useful for making software defect predictions early during the software project lifecycle.

  • 6.
    Rana, Rakesh
    et al.
    Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Staron, Miroslaw
    Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Berger, Christian
    Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Hansson, Jörgen
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Nilsson, Martin
    Volvo Car Corporation, Göteborg, Sweden.
    Törner, Fredrik
    Volvo Car Corporation, Göteborg, Sweden.
    Meding, Wilhelm
    Ericsson, Göteborg, Sweden.
    Höglund, Christoffer
    SAAB AB, Göteborg, Sweden.
    Selecting software reliability growth models and improving their predictive accuracy using historical projects data2014Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 98, s. 59-78Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    During software development two important decisions organizations have to make are: how to allocate testing resources optimally and when the software is ready for release. SRGMs (software reliability growth models) provide empirical basis for evaluating and predicting reliability of software systems. When using SRGMs for the purpose of optimizing testing resource allocation, the model's ability to accurately predict the expected defect inflow profile is useful. For assessing release readiness, the asymptote accuracy is the most important attribute. Although more than hundred models for software reliability have been proposed and evaluated over time, there exists no clear guide on which models should be used for a given software development process or for a given industrial domain. Using defect inflow profiles from large software projects from Ericsson, Volvo Car Corporation and Saab, we evaluate commonly used SRGMs for their ability to provide empirical basis for making these decisions. We also demonstrate that using defect intensity growth rate from earlier projects increases the accuracy of the predictions. Our results show that Logistic and Gompertz models are the most accurate models; we further observe that classifying a given project based on its expected shape of defect inflow help to select the most appropriate model. (C) 2014 Elsevier Inc. All rights reserved.

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