Identifying Business Barriers and Enablers for the Adoption of Open Source Software

The main research interest in Open Source Software (OSS) has been in answering the questions of why individuals and organizations without economic compensation contribute to OSS projects and how these projects are organized. In this paper we instead focus on managerial decisions for acquisition of OSS and discuss potential barriers for widespread use of OSS. Based on existing literature and a small case study, we develop and discuss the hypothesis that a major barrier may be the "customer" organizations’ uncertainty and unfamiliarity with the relationships with OSS "vendors". To develop viable models for these relationships is an important challenge, which we will deal with in a research project, of which this paper should be seen as a first step

Agile vs. structured distributed software development: A case study

In globally distributed software development, does it matter being agile rather than structured? To answer this question, this paper presents an extensive case study that compares agile (Scrum, XP, etc.) vs. structured (RUP, waterfall) processes to determine if the choice of process impacts aspects such as the overall success and economic savings of distributed projects, the motivation of the development teams, the amount of communication required during development, and the emergence of critical issues. The case study includes data from 66 projects developed in Europe, Asia, and the Americas. The results show no significant difference between the outcome of projects following agile processes and structured processes, suggesting that agile and structured processes can be equally effective for globally distributed development. The paper also discusses several qualitative aspects of distributed software development such as the advantages of nearshore vs. offshore, the preferred communication patterns, and the effects on project quality

One-domain-one-input: adaptive random testing by orthogonal recursive bisection with restriction

One goal of software testing may be the identification or generation of a series of test cases that can detect a fault with as few test executions as possible. Motivated by insights from research into failure-causing regions of input domains, the even-spreading (even distribution) of tests across the input domain has been identified as a useful heuristic to more quickly find failures. This finding has encouraged a shift in focus from traditional random testing (RT) to its enhancement, adaptive random testing (ART), which retains the randomness of test input selection, but also attempts to maintain a more evenly distributed spread of test inputs across the input domain. Given that there are different ways to achieve the even distribution, several different ART methods and approaches have been proposed. This paper presents a new ART method, called ART-ORB, which explores the advantages of repeated geometric bisection of the input domain, combined with restriction regions, to evenly spread test inputs. Experimental results show a better performance in terms of fewer test executions than RT to find failures. Compared with other ART methods, ART-ORB has comparable performance (in terms of required test executions), but incurs lower test input selection overheads, especially in higher dimensional input space. It is recommended that ART-ORB be used in testing situations involving expensive test input execution

The Europeanisation of foreign and security policy and the re-production of state identities in Finland and Britain

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