Software assessments, benchmarks, and best practices
Software assessments, benchmarks, and best practices
A case study of open source software development: the Apache server
Proceedings of the 22nd international conference on Software engineering
A framework analysis of the open source software development paradigm
ICIS '00 Proceedings of the twenty first international conference on Information systems
Succeeding with Open Source (Addison-Wesley Information Technology Series)
Succeeding with Open Source (Addison-Wesley Information Technology Series)
How to Have a Successful Free Software Project
APSEC '04 Proceedings of the 11th Asia-Pacific Software Engineering Conference
Perspectives on Free and Open Source Software
Perspectives on Free and Open Source Software
Software Process Maturity and the Success of Free Software Projects
Proceedings of the 2005 conference on Software Engineering: Evolution and Emerging Technologies
The FAMEtool: an automated supporting tool for assessing methodology
WSEAS Transactions on Information Science and Applications
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In recent years the increasing of open source solutions extended the business opportunities for the IT companies but at the same time created problems for the choice and evaluation processes. For these reasons the need of approaches and tools to address this issue has become capital. We present FAME (Filter, Analyze, Measure and Evaluate), an iterative approach for open source software assessment, and an idea for a support tool for this methodology. In this paper we analyze the most interesting and important assessment methodologies and the FAME approach that derived by these, more heavyweight, proven approaches developed in a University research and consulting company environment, aims to match the needs of small organizations. The proposed approach has been used by FlossLab, the first spin-off of University of Cagliari, to select the best solutions. This tool can be useful to make easier the whole process, supporting the users in this choice by an interactive approach, particularly in the filtering and analysis phases.