The document discusses a case study examining how different bug management patterns impact bug fixing times in Eclipse projects. It identifies four patterns: 1) the same person reports, triages, and fixes a bug; 2) the reporter and triager are the same but the fixer is different; 3) the triager and fixer are the same but the reporter is different; and 4) all roles are filled by different people. The study finds that pattern 1 tends to yield the fastest bug fixes, while pattern 4, with disconnected roles, tends to be the most difficult.
This document presents an approach for abstracting log lines from enterprise applications into execution events. It analyzes logs from four applications, including one RIM application that generates 1.6 million log lines in 8 hours. The approach involves anonymizing parameters, tokenizing log lines, categorizing tokens into events, and reconciling duplicate events. It compares performance to other log abstraction tools like SLCT and Terrify. The approach effectively reduces over 1 million log lines into hundreds of events while maintaining good precision and recall compared to other tools.
This document describes a journey zooming between the micro and macro cosmos by factors of 10. It starts at 1 meter and zooms outwards to billions of light years, observing objects from leaves to galaxies. It then zooms back inwards through cells and atoms, down to quarks at the subatomic level. The document suggests the resemblance between the micro and macro levels and questions humanity's place and understanding in the vast universe.
This document summarizes a study comparing how security bugs, performance bugs, and other bugs are handled in the Firefox browser. The study found that:
1) Security bugs are triaged and fixed faster than other types of bugs.
2) Security bug fixes are performed by more experienced developers and tend to be more complex, involving changes to more files.
3) Security bugs are tossed (reassigned) and reopened more often during the fixing process than other bugs.
C1, C2, C3, C4, C5, and C6 represent components with various issues. CR-A and CR-B are change requests that address some but not all of these issues. The document contains statistics on bug priority, fixes, and time spent across components and change requests.
The document describes two topic modeling techniques - the Hall model and the Diff model - for mapping topics over time in source code histories. The Hall model treats all code as a bag-of-words while the Diff model reconstructs topic memberships by modeling differences between versions. Evaluation shows the Diff model produces more distinct topics and more accurately tracks topic evolution compared to the Hall model, addressing problems of topic duplication and muddled topics found in source code histories.
This document discusses code clones in large software systems. It defines code clones as identical or similar segments of code and describes representations of clones as either clone pairs or clone classes. The document notes that while clone detection can find many candidates, not all are useful clones and it is difficult to get a high-level view of cloning at the architecture level. It presents visualization as a way to help understand clones and discusses finding patterns and anti-patterns in clones. The document concludes by questioning the definition of clones and comparing design level similarities to design patterns.
The document discusses detecting performance deviations in thread pools by monitoring thread behavior and collecting resource usage metrics. It proposes grouping threads based on their machine ID and behavior, then finding dissimilar threads to identify potential performance deviations. The approach was tested by injecting deviations into thread data and showed it could identify most deviations with high precision and recall.
The document discusses a case study examining how different bug management patterns impact bug fixing times in Eclipse projects. It identifies four patterns: 1) the same person reports, triages, and fixes a bug; 2) the reporter and triager are the same but the fixer is different; 3) the triager and fixer are the same but the reporter is different; and 4) all roles are filled by different people. The study finds that pattern 1 tends to yield the fastest bug fixes, while pattern 4, with disconnected roles, tends to be the most difficult.
This document presents an approach for abstracting log lines from enterprise applications into execution events. It analyzes logs from four applications, including one RIM application that generates 1.6 million log lines in 8 hours. The approach involves anonymizing parameters, tokenizing log lines, categorizing tokens into events, and reconciling duplicate events. It compares performance to other log abstraction tools like SLCT and Terrify. The approach effectively reduces over 1 million log lines into hundreds of events while maintaining good precision and recall compared to other tools.
This document describes a journey zooming between the micro and macro cosmos by factors of 10. It starts at 1 meter and zooms outwards to billions of light years, observing objects from leaves to galaxies. It then zooms back inwards through cells and atoms, down to quarks at the subatomic level. The document suggests the resemblance between the micro and macro levels and questions humanity's place and understanding in the vast universe.
This document summarizes a study comparing how security bugs, performance bugs, and other bugs are handled in the Firefox browser. The study found that:
1) Security bugs are triaged and fixed faster than other types of bugs.
2) Security bug fixes are performed by more experienced developers and tend to be more complex, involving changes to more files.
3) Security bugs are tossed (reassigned) and reopened more often during the fixing process than other bugs.
C1, C2, C3, C4, C5, and C6 represent components with various issues. CR-A and CR-B are change requests that address some but not all of these issues. The document contains statistics on bug priority, fixes, and time spent across components and change requests.
The document describes two topic modeling techniques - the Hall model and the Diff model - for mapping topics over time in source code histories. The Hall model treats all code as a bag-of-words while the Diff model reconstructs topic memberships by modeling differences between versions. Evaluation shows the Diff model produces more distinct topics and more accurately tracks topic evolution compared to the Hall model, addressing problems of topic duplication and muddled topics found in source code histories.
This document discusses code clones in large software systems. It defines code clones as identical or similar segments of code and describes representations of clones as either clone pairs or clone classes. The document notes that while clone detection can find many candidates, not all are useful clones and it is difficult to get a high-level view of cloning at the architecture level. It presents visualization as a way to help understand clones and discusses finding patterns and anti-patterns in clones. The document concludes by questioning the definition of clones and comparing design level similarities to design patterns.
The document discusses detecting performance deviations in thread pools by monitoring thread behavior and collecting resource usage metrics. It proposes grouping threads based on their machine ID and behavior, then finding dissimilar threads to identify potential performance deviations. The approach was tested by injecting deviations into thread data and showed it could identify most deviations with high precision and recall.
This study examined attributes of bug reports in the Eclipse project to predict which bugs would be re-opened. The researchers found that comment text, description text, and component were the best indicators. Using these and other attributes, their prediction model achieved 63% precision and 85% recall in identifying re-opened bugs. Month, time to resolve, and fixer/reporter names were also important attributes. The researchers concluded that comments are important for predicting re-opened bugs and that bug reports contained the most useful attributes.
O documento descreve o Observatório Municipal de Campinas Jean Nicolini no Brasil. Ele fornece atividades educacionais e de pesquisa em astronomia desde 1977. O projeto propõe renovar as instalações para melhorar as atividades do museu, observatório e centro de convenções.
This document provides information about using video marketing on YouTube to promote music. It discusses different types of videos that can be created, such as tutorials, interviews, and contests. It also outlines strategies for optimizing videos on YouTube, including tagging videos with keywords and promoting videos on YouTube and other sites to build an audience. The overall goal is to help musicians leverage video marketing to generate traffic and fans.
This paper validates the use of topic models to automatically detect software evolution by applying topic modeling techniques to an open source project called JHotDraw. The study found that 92% of detected topic changes agreed with documentation of code changes between versions. The paper concludes that topic models show promise for uses in software comprehension and quality assurance tools, but more validation is needed with other systems. Future work is needed to improve recall of topic models and implement topic modeling into software dashboards.
This study analyzed the time dependence of code changes in software projects over their lifetime. The researchers detected foundational periods by establishing time dependence relations between changes. They analyzed how time dependence varied over time in two open source projects, finding that one progressively built on older periods while the other cycled between new and old. Both took over a year to begin strongly relying on past changes. By plotting heatmaps of dependencies between periods, they identified the most foundational periods, which introduced large amounts of code or invasive changes.
This document discusses unstructured data mining and provides examples of unstructured data sources like social media, requirements documents, email, source code comments, bug reports, documentation, and chat logs. It notes that unstructured data is complex, diverse, and imperfect due to its natural language, lack of standard formats, and potential inconsistencies, ambiguities, and informal language. The document promotes the MUD 2010 workshop which focuses on mining such unstructured data.
This document describes a study that evaluates different heuristics for prioritizing which functions in a legacy system should have unit tests written for them first under a test-driven maintenance (TDM) approach. The study used historical modification and bug fix data from a legacy system to simulate writing unit tests over time according to various heuristics like "most frequently modified", "largest fixed", and "change risk". The results showed that heuristics focused on modification frequency and past fixes performed best in terms of usefulness of the unit tests and optimal test coverage within resource constraints.
This study analyzed 111 performance bugs from the Chrome and Firefox bug databases to understand differences from non-performance bugs. Performance bugs were found to have more replication problems, dependencies on other bugs, discussion, issues with working after a long time, blocking of releases, and risk of losing users. They also require more experienced developers and take longer to fix.
This document discusses using topic models to study software defects. It summarizes research that used topic modeling on source code to identify topics and measure their defect-proneness. The research found that:
1) A few topics tended to be more defect-prone than others. Focusing more testing on these topics could find more defects.
2) Including topic membership metrics in defect prediction models explained software defects better than models using traditional static code metrics alone. The topic metrics provided additional explanatory power.
3) More topics assigned to a file tended to correlate with more defects in that file. So files with a wider scope tended to have more defects.
Local models tend to perform better than global models for prediction tasks. Building local models involves clustering datasets and learning a separate model for each cluster. This approach can improve model fit compared to a single global model. However, building very local models risks overfitting the data. The MARS (Multivariate Adaptive Regression Splines) technique optimizes local model fits while minimizing global overfitting through clustering data independently of model fitting.
TRY - a global database of plant traitsFuture Earth
This presentation was given by Jens Kattge, on the occasion of the DIVERSITAS Celebration on 30 September 2014 in Seville, Spain. Jens Kattge is group leader of the Functional Biogeography research group at the Max Planck Institute for Biogeochemistry, Germany.
DIVERSITAS is in an international research programme on biodiversity science. Founded in 1991, DIVERSITAS will transition to Future Earth in 2014. Find out more at bit.ly/1sZ2GcB
The document discusses inconsistent changes to code clones at the release level by analyzing two subject systems over multiple releases to detect clones, track clone groups between releases, and identify inconsistent changes in clone groups. It aims to observe the effects of inconsistent changes to clones at the release level since previous work has mainly analyzed inconsistent changes at the revision level.
Clase 1 Español básico para niños sordosTania Durán
Es recomendado que el español para niños sordos se inicie con los artículos y sustantivos de Género y Número*
*Tomado de: Espiral Morofosintaxis, Guía didáctica, Onda Educa Editorial, España.
This study examined attributes of bug reports in the Eclipse project to predict which bugs would be re-opened. The researchers found that comment text, description text, and component were the best indicators. Using these and other attributes, their prediction model achieved 63% precision and 85% recall in identifying re-opened bugs. Month, time to resolve, and fixer/reporter names were also important attributes. The researchers concluded that comments are important for predicting re-opened bugs and that bug reports contained the most useful attributes.
O documento descreve o Observatório Municipal de Campinas Jean Nicolini no Brasil. Ele fornece atividades educacionais e de pesquisa em astronomia desde 1977. O projeto propõe renovar as instalações para melhorar as atividades do museu, observatório e centro de convenções.
This document provides information about using video marketing on YouTube to promote music. It discusses different types of videos that can be created, such as tutorials, interviews, and contests. It also outlines strategies for optimizing videos on YouTube, including tagging videos with keywords and promoting videos on YouTube and other sites to build an audience. The overall goal is to help musicians leverage video marketing to generate traffic and fans.
This paper validates the use of topic models to automatically detect software evolution by applying topic modeling techniques to an open source project called JHotDraw. The study found that 92% of detected topic changes agreed with documentation of code changes between versions. The paper concludes that topic models show promise for uses in software comprehension and quality assurance tools, but more validation is needed with other systems. Future work is needed to improve recall of topic models and implement topic modeling into software dashboards.
This study analyzed the time dependence of code changes in software projects over their lifetime. The researchers detected foundational periods by establishing time dependence relations between changes. They analyzed how time dependence varied over time in two open source projects, finding that one progressively built on older periods while the other cycled between new and old. Both took over a year to begin strongly relying on past changes. By plotting heatmaps of dependencies between periods, they identified the most foundational periods, which introduced large amounts of code or invasive changes.
This document discusses unstructured data mining and provides examples of unstructured data sources like social media, requirements documents, email, source code comments, bug reports, documentation, and chat logs. It notes that unstructured data is complex, diverse, and imperfect due to its natural language, lack of standard formats, and potential inconsistencies, ambiguities, and informal language. The document promotes the MUD 2010 workshop which focuses on mining such unstructured data.
This document describes a study that evaluates different heuristics for prioritizing which functions in a legacy system should have unit tests written for them first under a test-driven maintenance (TDM) approach. The study used historical modification and bug fix data from a legacy system to simulate writing unit tests over time according to various heuristics like "most frequently modified", "largest fixed", and "change risk". The results showed that heuristics focused on modification frequency and past fixes performed best in terms of usefulness of the unit tests and optimal test coverage within resource constraints.
This study analyzed 111 performance bugs from the Chrome and Firefox bug databases to understand differences from non-performance bugs. Performance bugs were found to have more replication problems, dependencies on other bugs, discussion, issues with working after a long time, blocking of releases, and risk of losing users. They also require more experienced developers and take longer to fix.
This document discusses using topic models to study software defects. It summarizes research that used topic modeling on source code to identify topics and measure their defect-proneness. The research found that:
1) A few topics tended to be more defect-prone than others. Focusing more testing on these topics could find more defects.
2) Including topic membership metrics in defect prediction models explained software defects better than models using traditional static code metrics alone. The topic metrics provided additional explanatory power.
3) More topics assigned to a file tended to correlate with more defects in that file. So files with a wider scope tended to have more defects.
Local models tend to perform better than global models for prediction tasks. Building local models involves clustering datasets and learning a separate model for each cluster. This approach can improve model fit compared to a single global model. However, building very local models risks overfitting the data. The MARS (Multivariate Adaptive Regression Splines) technique optimizes local model fits while minimizing global overfitting through clustering data independently of model fitting.
TRY - a global database of plant traitsFuture Earth
This presentation was given by Jens Kattge, on the occasion of the DIVERSITAS Celebration on 30 September 2014 in Seville, Spain. Jens Kattge is group leader of the Functional Biogeography research group at the Max Planck Institute for Biogeochemistry, Germany.
DIVERSITAS is in an international research programme on biodiversity science. Founded in 1991, DIVERSITAS will transition to Future Earth in 2014. Find out more at bit.ly/1sZ2GcB
The document discusses inconsistent changes to code clones at the release level by analyzing two subject systems over multiple releases to detect clones, track clone groups between releases, and identify inconsistent changes in clone groups. It aims to observe the effects of inconsistent changes to clones at the release level since previous work has mainly analyzed inconsistent changes at the revision level.
Clase 1 Español básico para niños sordosTania Durán
Es recomendado que el español para niños sordos se inicie con los artículos y sustantivos de Género y Número*
*Tomado de: Espiral Morofosintaxis, Guía didáctica, Onda Educa Editorial, España.