BibSonomy publications for /author/HerraizFri Nov 25 00:00:00 CET 2011WCREconf/wcre/2011219-228Impact of Installation Counts on Perceived Quality: A Case Study on Debian.2011dblp Wed Sep 28 00:00:00 CEST 2011ICSOFT (1)conf/icsoft/2011-1301-304A Quantitative Examination of the Impact of Featured Articles in Wikipedia.2011dblp Wed Sep 28 00:00:00 CEST 2011ICSOFT (2)conf/icsoft/2011-25-14On the Distribution of Source Code File Sizes.2011dblp Fri Feb 04 00:00:00 CET 2011Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial1699-106Personalización estructural basada en criterios de usabilidad.62002dblp Mon Jan 24 00:00:00 CET 2011IJITWE327-48Applying Social Network Analysis Techniques to Community-Driven Libre Software Projects.12006dblp Wed Jul 21 16:01:35 CEST 2010MSRconf/msr/2009167-170Evolution of the core team of developers in libre software projects.2009dblp Wed Jul 21 16:01:35 CEST 2010MSRconf/msr/201082-85Mining Challenge 2010: FreeBSD, GNOME Desktop and Debian/Ubuntu.2010dblp Thu Mar 18 00:00:00 CET 2010HISconf/his/2008776-780Neural Network Acquisition Estimator for Multiresolutive Adaptive PN Acquisition Scheme in Multiuser Non Selective Fast SNR Variation Environments.2008dblp Wed Feb 03 02:22:05 CET 2010New York, NY, USAIWPSE '07: Ninth international workshop on Principles of software evolution79--82Adapting the "staged model for software evolution" to free/libre/open source software2007imported Research into traditional software evolution has been tackled from two broad perspectives: that focused on the how, which looks at the processes, methods and techniques to implement and evolve software; and that focused on the what/why perspective, aiming at achieving an understanding of the drivers and general characteristics of the software evolution phenomenon. The two perspectives are related in various ways: the study of the what/why is for instance essential to achieve an appropriate management of software engineering activities, and to guide innovation in processes, methods and tools, that is, the how. The output of the what/why studies is exemplified by empirical hypotheses, such as the staged model of software evolution. This paper focuses on the commonalities and differences between the evolution and patterns in the lifecycles of traditional commercial systems and free/libre/open source software (FLOSS) systems. The existing staged model for software evolution is therefore revised for its applicability on FLOSS systems.Mon Jan 04 00:00:00 CET 2010Software Engineering Research and Practiceconf/serp/2009586-591Determinig the Standard Deviation for Cosmic Software Functional Size Measurement.2009dblp Tue Nov 17 00:00:00 CET 2009ICSMconf/icsm/2009439-442A statistical examination of the evolution and properties of libre software.2009dblp Thu Nov 12 00:00:00 CET 2009SPDECEconf/spdece/2007CEUR Workshop ProceedingsPrecedencia Difusa y Generación de Itinerarios Docentes en Sistemas LCMS.3182007dblp Mon Oct 05 00:00:00 CEST 2009IJOSSP124-45Tools for the Study of the Usual Data Sources found in Libre Software Projects.12009dblp Wed Jul 08 00:00:00 CEST 2009IWPSEconf/iwpse/2005165-174Evolution and Growth in Large Libre Software Projects.2005dblp Tue Apr 21 00:00:00 CEST 2009CSMRconf/csmr/2009281-284FLOSSMetrics: Free/Libre/Open Source Software Metrics.2009dblp Wed Apr 08 14:37:32 CEST 2009ParisInternational Conference on Software MaintenanceOctober405-414On the prediction of the evolution of libre software projects2007empirical evolution open-source Libre (free / open source) software development is a complex phenomenon. Many actors (core developers, casual contributors, bug reporters, patch submitters, users, etc.), in many cases volunteers, interact in complex patterns without the constrains of formal hierarchical structures or organizational ties. Understanding this complex behavior with enough detail to build explanatory models suitable for prediction is an open challenge, and few results have been published to date in this area. Therefore statistical, non-explanatory models (such as the traditional regression model) have a clear role, and have been used in some evolution studies. Our proposal goes in this direction, but using a model that we have found more useful: time series analysis. Data available from the source code management repository is used to compute the size of the software over its past life, using this information to estimate the future evolution of the project. In this paper we present this methodology and apply it to three large projects, showing how in these cases predictions are more accurate than regression models, and precise enough to estimate with little error their near future evolutions.Tue Feb 17 04:18:43 CET 2009International Workshop on Principles of Software EvolutionSept. 165-174Evolution and growth in large libre software projects2005msr oss linux empirical Software evolution research has recently focused on new development paradigms, studying whether laws found in more classic development environments also apply. Previous works have pointed out that at least some laws seem not to be valid for these new environments and even Lehman has labeled those (up to the moment few) cases as anomalies and has suggested that further research is needed to clarify this issue. In this line, we consider in this paper a large set of libre (free, open source) software systems featuring a large community of users and developers. In particular, we analyze a number of projects found in literature up to now, including the Linux kernel. For comparison, we include other libre software kernels from the BSD family, and for completeness we consider a wider range of libre software applications. In the case of Linux and the other operating system kernels we have studied growth patterns also at the subsystem level. We have observed in the studied sample that super-linearity occurs only exceptionally, that many of the systems follow a linear growth pattern and that smooth growth is not that common. These results differ from the ones found generally in classical software evolution studies. Other behaviors and patterns give also a hint that development in the libre software world could follow different laws than those known, at least in some cases.Tue Nov 18 00:00:00 CET 2008ICSMconf/icsm/2007405-414On the prediction of the evolution of libre software projects.2007dblp Mon Nov 10 19:51:17 CET 2008Leipzig, GermanyInternational working conference on Mining software repositories1--10Determinism and evolution2008evolution software It has been proposed that software evolution follows a Self-Organized Criticality (SOC) dynamics. This fact is supported by the presence of long range correlations in the time series of the number of changes made to the source code over time. Those long range correlations imply that the current state of the project was determined time ago. In other words, the evolution of the software project is governed by a sort of determinism. But this idea seems to contradict intuition. To explore this apparent contradiction, we have performed an empirical study on a sample of 3, 821 libre (free, open source) software projects, finding that their evolution projects is short range correlated. This suggests that the dynamics of software evolution may not be SOC, and therefore that the past of a project does not determine its future except for relatively short periods of time, at least for libre software.Mon Nov 03 00:00:00 CET 2008IWPSEconf/iwpse/200779-82Adapting the "staged model for software evolution" to free/libre/open source software.2007dblp