ºÝºÝߣshows by User: herraiz / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: herraiz / Fri, 17 May 2013 18:41:21 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: herraiz intensive metrics software evolution /slideshow/intensive-metrics-software-evolution/21354695 intensive-metrics-software-evolution-130517184121-phpapp01
In natural sciences, intensive properties do not depend on the size of the system. These slides summarize how we have found intensive metrics for the case of open source software, and how to use these metrics to evaluate open source evolution. These slides have been presented at MSR 2013. There is a preprint of the paper at http://oa.upm.es/14698/]]>
In natural sciences, intensive properties do not depend on the size of the system. These slides summarize how we have found intensive metrics for the case of open source software, and how to use these metrics to evaluate open source evolution. These slides have been presented at MSR 2013. There is a preprint of the paper at http://oa.upm.es/14698/]]> Fri, 17 May 2013 18:41:21 GMT /slideshow/intensive-metrics-software-evolution/21354695 herraiz@slideshare.net(herraiz) intensive metrics software evolution herraiz In natural sciences, intensive properties do not depend on the size of the system. These slides summarize how we have found intensive metrics for the case of open source software, and how to use these metrics to evaluate open source evolution. These slides have been presented at MSR 2013. There is a preprint of the paper at http://oa.upm.es/14698/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intensive-metrics-software-evolution-130517184121-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In natural sciences, intensive properties do not depend on the size of the system. These slides summarize how we have found intensive metrics for the case of open source software, and how to use these metrics to evaluate open source evolution. These slides have been presented at MSR 2013. There is a preprint of the paper at http://oa.upm.es/14698/
intensive metrics software evolution from Israel Herraiz
]]> 2328 3 https://cdn.slidesharecdn.com/ss_thumbnails/intensive-metrics-software-evolution-130517184121-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Public Key Cryptography /herraiz/public-key-cryptography-19883849 gpg20132404-130424035833-phpapp01
Updated version of my slides about Public Key Cryptography, with some additions about the legal status of PKC in the world]]>
Updated version of my slides about Public Key Cryptography, with some additions about the legal status of PKC in the world]]> Wed, 24 Apr 2013 03:58:33 GMT /herraiz/public-key-cryptography-19883849 herraiz@slideshare.net(herraiz) Public Key Cryptography herraiz Updated version of my slides about Public Key Cryptography, with some additions about the legal status of PKC in the world <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gpg20132404-130424035833-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Updated version of my slides about Public Key Cryptography, with some additions about the legal status of PKC in the world
Public Key Cryptography from Israel Herraiz
]]> 1369 2 https://cdn.slidesharecdn.com/ss_thumbnails/gpg20132404-130424035833-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Statistical Distribution of Metrics /slideshow/statistical-distribution-of-metrics/16284390 slides-130131192224-phpapp02
Presentation for the Seminar on Open Source Evolution 2013 http://informatique.umons.ac.be/genlog/SOS-Evol/SOS-Evol2013.html]]>
Presentation for the Seminar on Open Source Evolution 2013 http://informatique.umons.ac.be/genlog/SOS-Evol/SOS-Evol2013.html]]> Thu, 31 Jan 2013 19:22:24 GMT /slideshow/statistical-distribution-of-metrics/16284390 herraiz@slideshare.net(herraiz) Statistical Distribution of Metrics herraiz Presentation for the Seminar on Open Source Evolution 2013 http://informatique.umons.ac.be/genlog/SOS-Evol/SOS-Evol2013.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-130131192224-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation for the Seminar on Open Source Evolution 2013 http://informatique.umons.ac.be/genlog/SOS-Evol/SOS-Evol2013.html
Statistical Distribution of Metrics from Israel Herraiz
]]> 523 7 https://cdn.slidesharecdn.com/ss_thumbnails/slides-130131192224-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ¿MATLAB? Yo uso Octave UPM https://es.slideshare.net/slideshow/matlab-yo-uso-octave-upm/16022478 slides-130116095359-phpapp02
MATLAB se ha convertido en un estándar para el cálculo científico y la visualización en ingeniería y ciencias, y como herramienta docente en universidades. El principal inconveniente para la enseñanza con MATLAB es la dificultad de acceso de los alumnos a la herramienta, debido al alto coste de las licencias. Esto provoca un impacto docente muy claro, pues pocos estudiantes pueden practicar usando sus propios ordenadores. Octave es una alternativa a MATLAB, que se distribuye como software libre. El principal inconveniente que ha tenido Octave hasta ahora era la falta de una interfaz gráfica sencilla y de un entorno de programación, similares a los que presenta MATLAB. Además, puede ser complicado de instalar en algunas plataformas, como Windows. Este inconveniente es historia gracias al proyecto Octave UPM, que proporciona un entorno de programación basado en Octave compatible con MATLAB. El entorno Octave UPM ofrece las mismas funcionalidades que MATLAB y ha sido probado con éxito en varias asignaturas en la UPM, con más de 200 alumnos matriculados, que anteriormente empleaban exclusivamente MATLAB, sin cambiar una línea del código de las asignaturas.]]>
MATLAB se ha convertido en un estándar para el cálculo científico y la visualización en ingeniería y ciencias, y como herramienta docente en universidades. El principal inconveniente para la enseñanza con MATLAB es la dificultad de acceso de los alumnos a la herramienta, debido al alto coste de las licencias. Esto provoca un impacto docente muy claro, pues pocos estudiantes pueden practicar usando sus propios ordenadores. Octave es una alternativa a MATLAB, que se distribuye como software libre. El principal inconveniente que ha tenido Octave hasta ahora era la falta de una interfaz gráfica sencilla y de un entorno de programación, similares a los que presenta MATLAB. Además, puede ser complicado de instalar en algunas plataformas, como Windows. Este inconveniente es historia gracias al proyecto Octave UPM, que proporciona un entorno de programación basado en Octave compatible con MATLAB. El entorno Octave UPM ofrece las mismas funcionalidades que MATLAB y ha sido probado con éxito en varias asignaturas en la UPM, con más de 200 alumnos matriculados, que anteriormente empleaban exclusivamente MATLAB, sin cambiar una línea del código de las asignaturas.]]> Wed, 16 Jan 2013 09:53:59 GMT https://es.slideshare.net/slideshow/matlab-yo-uso-octave-upm/16022478 herraiz@slideshare.net(herraiz) ¿MATLAB? Yo uso Octave UPM herraiz MATLAB se ha convertido en un estándar para el cálculo científico y la visualización en ingeniería y ciencias, y como herramienta docente en universidades. El principal inconveniente para la enseñanza con MATLAB es la dificultad de acceso de los alumnos a la herramienta, debido al alto coste de las licencias. Esto provoca un impacto docente muy claro, pues pocos estudiantes pueden practicar usando sus propios ordenadores. Octave es una alternativa a MATLAB, que se distribuye como software libre. El principal inconveniente que ha tenido Octave hasta ahora era la falta de una interfaz gráfica sencilla y de un entorno de programación, similares a los que presenta MATLAB. Además, puede ser complicado de instalar en algunas plataformas, como Windows. Este inconveniente es historia gracias al proyecto Octave UPM, que proporciona un entorno de programación basado en Octave compatible con MATLAB. El entorno Octave UPM ofrece las mismas funcionalidades que MATLAB y ha sido probado con éxito en varias asignaturas en la UPM, con más de 200 alumnos matriculados, que anteriormente empleaban exclusivamente MATLAB, sin cambiar una línea del código de las asignaturas. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-130116095359-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> MATLAB se ha convertido en un estándar para el cálculo científico y la visualización en ingeniería y ciencias, y como herramienta docente en universidades. El principal inconveniente para la enseñanza con MATLAB es la dificultad de acceso de los alumnos a la herramienta, debido al alto coste de las licencias. Esto provoca un impacto docente muy claro, pues pocos estudiantes pueden practicar usando sus propios ordenadores. Octave es una alternativa a MATLAB, que se distribuye como software libre. El principal inconveniente que ha tenido Octave hasta ahora era la falta de una interfaz gráfica sencilla y de un entorno de programación, similares a los que presenta MATLAB. Además, puede ser complicado de instalar en algunas plataformas, como Windows. Este inconveniente es historia gracias al proyecto Octave UPM, que proporciona un entorno de programación basado en Octave compatible con MATLAB. El entorno Octave UPM ofrece las mismas funcionalidades que MATLAB y ha sido probado con éxito en varias asignaturas en la UPM, con más de 200 alumnos matriculados, que anteriormente empleaban exclusivamente MATLAB, sin cambiar una línea del código de las asignaturas.
from Israel Herraiz
]]> 7609 13 https://cdn.slidesharecdn.com/ss_thumbnails/slides-130116095359-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The Ultimate Debian Database /herraiz/the-ultimate-debian-database 20120726udd-120726105735-phpapp02
Some comments about the sources of data stored in the Ultimate Debian Database]]>
Some comments about the sources of data stored in the Ultimate Debian Database]]> Thu, 26 Jul 2012 10:57:34 GMT /herraiz/the-ultimate-debian-database herraiz@slideshare.net(herraiz) The Ultimate Debian Database herraiz Some comments about the sources of data stored in the Ultimate Debian Database <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20120726udd-120726105735-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Some comments about the sources of data stored in the Ultimate Debian Database
The Ultimate Debian Database from Israel Herraiz
]]> 526 3 https://cdn.slidesharecdn.com/ss_thumbnails/20120726udd-120726105735-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Evaluating the presence and impact of bias in bug-fix datasets /slideshow/evaluating-the-presence-and-impact-of-bias-in-bugfix-datasets/12494328 20121104planning-120410210507-phpapp02
Empirical Software Engineering relies on reusable datasets to make it easier to replicate empirical studies and therefore build theories on top of those empirical results. An area where these reusable datasets are particularly useful is defect predictions. In this area, the goal is to predict which entities will be more error prone, so managers can take preventive actions to improve the quality of the delivered system. These reusable datasets contain information about source code files and their history, bug reports, and bugs fixed in each one of the files. However, some of the most used datasets in the Empirical Software Engineering community have been shown to be biased: many links between files and fixed bugs are missing. Research work has already shown that this bias may affect the performance of defect prediction models. In this talk we will show how to use statistical techniques to evaluate the bias in datasets, and to estimate their impact on defect prediction]]>
Empirical Software Engineering relies on reusable datasets to make it easier to replicate empirical studies and therefore build theories on top of those empirical results. An area where these reusable datasets are particularly useful is defect predictions. In this area, the goal is to predict which entities will be more error prone, so managers can take preventive actions to improve the quality of the delivered system. These reusable datasets contain information about source code files and their history, bug reports, and bugs fixed in each one of the files. However, some of the most used datasets in the Empirical Software Engineering community have been shown to be biased: many links between files and fixed bugs are missing. Research work has already shown that this bias may affect the performance of defect prediction models. In this talk we will show how to use statistical techniques to evaluate the bias in datasets, and to estimate their impact on defect prediction]]> Tue, 10 Apr 2012 21:05:05 GMT /slideshow/evaluating-the-presence-and-impact-of-bias-in-bugfix-datasets/12494328 herraiz@slideshare.net(herraiz) Evaluating the presence and impact of bias in bug-fix datasets herraiz Empirical Software Engineering relies on reusable datasets to make it easier to replicate empirical studies and therefore build theories on top of those empirical results. An area where these reusable datasets are particularly useful is defect predictions. In this area, the goal is to predict which entities will be more error prone, so managers can take preventive actions to improve the quality of the delivered system. These reusable datasets contain information about source code files and their history, bug reports, and bugs fixed in each one of the files. However, some of the most used datasets in the Empirical Software Engineering community have been shown to be biased: many links between files and fixed bugs are missing. Research work has already shown that this bias may affect the performance of defect prediction models. In this talk we will show how to use statistical techniques to evaluate the bias in datasets, and to estimate their impact on defect prediction <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20121104planning-120410210507-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Empirical Software Engineering relies on reusable datasets to make it easier to replicate empirical studies and therefore build theories on top of those empirical results. An area where these reusable datasets are particularly useful is defect predictions. In this area, the goal is to predict which entities will be more error prone, so managers can take preventive actions to improve the quality of the delivered system. These reusable datasets contain information about source code files and their history, bug reports, and bugs fixed in each one of the files. However, some of the most used datasets in the Empirical Software Engineering community have been shown to be biased: many links between files and fixed bugs are missing. Research work has already shown that this bias may affect the performance of defect prediction models. In this talk we will show how to use statistical techniques to evaluate the bias in datasets, and to estimate their impact on defect prediction
Evaluating the presence and impact of bias in bug-fix datasets from Israel Herraiz
]]> 1174 4 https://cdn.slidesharecdn.com/ss_thumbnails/20121104planning-120410210507-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Software size distribution - Why we always underestimate software cost /slideshow/on-the-distribution-of-source-code-file-sizes/7833221 slides-110504095003-phpapp01
Why we always underestimate software cost. Presentation of the paper "On the distribution of source code file sizes", accepted for ICSOFT 2011 http://www.icsoft.org Preprint available at http://oa.upm.es/6791/]]>
Why we always underestimate software cost. Presentation of the paper "On the distribution of source code file sizes", accepted for ICSOFT 2011 http://www.icsoft.org Preprint available at http://oa.upm.es/6791/]]> Wed, 04 May 2011 09:49:57 GMT /slideshow/on-the-distribution-of-source-code-file-sizes/7833221 herraiz@slideshare.net(herraiz) Software size distribution - Why we always underestimate software cost herraiz Why we always underestimate software cost. Presentation of the paper "On the distribution of source code file sizes", accepted for ICSOFT 2011 http://www.icsoft.org Preprint available at http://oa.upm.es/6791/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-110504095003-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Why we always underestimate software cost. Presentation of the paper &quot;On the distribution of source code file sizes&quot;, accepted for ICSOFT 2011 http://www.icsoft.org Preprint available at http://oa.upm.es/6791/
Software size distribution - Why we always underestimate software cost from Israel Herraiz
]]> 1420 3 https://cdn.slidesharecdn.com/ss_thumbnails/slides-110504095003-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The dynamics of software evolution - EVOLUMONS 2011 /slideshow/the-dynamics-of-software-evolution-evolumons-2011/6675672 evolumons20110126-110123134813-phpapp01
ºÝºÝߣs of my talk at EVOLUMONS 2011 http://informatique.umons.ac.be/genlog/EvolMons/EvolMons2011.html ]]>
ºÝºÝߣs of my talk at EVOLUMONS 2011 http://informatique.umons.ac.be/genlog/EvolMons/EvolMons2011.html ]]> Sun, 23 Jan 2011 13:48:07 GMT /slideshow/the-dynamics-of-software-evolution-evolumons-2011/6675672 herraiz@slideshare.net(herraiz) The dynamics of software evolution - EVOLUMONS 2011 herraiz ºÝºÝߣs of my talk at EVOLUMONS 2011 http://informatique.umons.ac.be/genlog/EvolMons/EvolMons2011.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/evolumons20110126-110123134813-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs of my talk at EVOLUMONS 2011 http://informatique.umons.ac.be/genlog/EvolMons/EvolMons2011.html
The dynamics of software evolution - EVOLUMONS 2011 from Israel Herraiz
]]> 1457 4 https://cdn.slidesharecdn.com/ss_thumbnails/evolumons20110126-110123134813-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Public key cryptography /slideshow/gpg-20101210/6128031 gpg20101210-101212084641-phpapp01
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]]> Sun, 12 Dec 2010 08:46:34 GMT /slideshow/gpg-20101210/6128031 herraiz@slideshare.net(herraiz) Public key cryptography herraiz <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gpg20101210-101212084641-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Public key cryptography from Israel Herraiz
]]> 2198 1 https://cdn.slidesharecdn.com/ss_thumbnails/gpg20101210-101212084641-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mining Software Repositories /slideshow/20100618-daniel-uah/4610593 20100618danieluah-100625042332-phpapp02
Mining Software Repositories. Where to get data? Where to publish?]]>
Mining Software Repositories. Where to get data? Where to publish?]]> Fri, 25 Jun 2010 04:23:25 GMT /slideshow/20100618-daniel-uah/4610593 herraiz@slideshare.net(herraiz) Mining Software Repositories herraiz Mining Software Repositories. Where to get data? Where to publish? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20100618danieluah-100625042332-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Mining Software Repositories. Where to get data? Where to publish?
Mining Software Repositories from Israel Herraiz
]]> 3682 10 https://cdn.slidesharecdn.com/ss_thumbnails/20100618danieluah-100625042332-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-herraiz-48x48.jpg?cb=1527609624 http://herraiz.org https://cdn.slidesharecdn.com/ss_thumbnails/intensive-metrics-software-evolution-130517184121-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/intensive-metrics-software-evolution/21354695 intensive metrics soft... https://cdn.slidesharecdn.com/ss_thumbnails/gpg20132404-130424035833-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds herraiz/public-key-cryptography-19883849 Public Key Cryptography https://cdn.slidesharecdn.com/ss_thumbnails/slides-130131192224-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/statistical-distribution-of-metrics/16284390 Statistical Distributi...