Factors Affecting the Success of Open Source Software

With the rapid rise in the use of Open Source Software (OSS) in all types of applications, it is important to know which factors can lead to OSS success. OSS projects evolve and transform over time; therefore success must be examined longitudinally over a period of time. In this research, we examine two measures of project success: project popularity and developer activity, of 283 OSS projects over a span of 3 years, in order to observe changes over time. A comprehensive research model of OSS success is developed which includes both extrinsic and intrinsic attributes. Results show that while many of the hypothesized relationships are supported, there were marked differences in some of the relationships at different points in time lending support to the notion that different factors need to be emphasized as the OSS project unfolds over time

Summer 2010 Vol. 12 No.1

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Enhancing Software Project Outcomes: Using Machine Learning and Open Source Data to Employ Software Project Performance Determinants

Many factors can influence the ongoing management and execution of technology projects. Some of these elements are known a priori during the project planning phase. Others require real-time data gathering and analysis throughout the lifetime of a project. These real-time project data elements are often neglected, misclassified, or otherwise misinterpreted during the project execution phase resulting in increased risk of delays, quality issues, and missed business opportunities. The overarching motivation for this research endeavor is to offer reliable improvements in software technology management and delivery. The primary purpose is to discover and analyze the impact, role, and level of influence of various project related data on the ongoing management of technology projects. The study leverages open source data regarding software performance attributes. The goal is to temper the subjectivity currently used by project managers (PMs) with quantifiable measures when assessing project execution progress. Modern-day PMs who manage software development projects are charged with an arduous task. Often, they obtain their inputs from technical leads who tend to be significantly more technical. When assessing software projects, PMs perform their role subject to the limitations of their capabilities and competencies. PMs are required to contend with the stresses of the business environment, the policies, and procedures dictated by their organizations, and resource constraints. The second purpose of this research study is to propose methods by which conventional project assessment processes can be enhanced using quantitative methods that utilize real-time project execution data. Transferability of academic research to industry application is specifically addressed vis-à-vis a delivery framework to provide meaningful data to industry practitioners

Reclassifying Success and Tragedy in FLOSS Projects

Abstract This paper presents the results of a replication of English & Schweik’s 2007 paper classifying FLOSS projects according to their stage of growth and indicators of success. We recreated the analysis using a comparable data set from 2006, with one additional point in time. We also expanded upon the original results by applying different criteria for evaluating the rate of new software releases for sustainability of project activity. We discuss the points of convergence and divergence from the original work from these extensions of the classification, and their implications for studying FLOSS development using archival data. The paper contributes new analysis of operationalizing success in FLOSS projects, with discussion of implications of the findings.

Crowdsourcing Scientific Work: A Comparative Study of Technologies, Processes, and Outcomes in Citizen Science

Citizen science projects involve the public with scientists in collaborative research. Information and communication technologies for citizen science can enable massive virtual collaborations based on voluntary contributions by diverse participants. As the popularity of citizen science increases, scientists need a more thorough understanding of how project design and implementation decisions affect scientific outcomes. Applying a comparative case study methodology, the study investigated project organizers\u27 perspectives and experiences in Mountain Watch, the Great Sunflower Project, and eBird, three observation-based ecological citizen science projects in different scientific domains. Five themes are highlighted in the findings: the influence of project design approaches that favor science versus lifestyle; project design and organizing implications of engaging communities of practice; relationships between physical environment, technologies, participant experiences, and data quality; the constraints and affordances of information and communication technologies; and the relationship of resources and sustainability to institutions and scale of participation. This research contributes an empirically-grounded theoretical model of citizen science projects, with comparative analysis that produced new insights into the design of technologies and processes to support public participation in the production of scientific knowledge