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CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
Automatic Summarization of Bug Reports 
Abstract 
Software developers access bug reports in a project’s bug repository to help with a number 
of different tasks, including understanding how previous changes have been made and 
understanding multiple aspects of particular defects. A developer’s interaction with 
existing bug reports often requires perusing a substantial amount of text. In this article, we 
investigate whether it is possible to summarize bug reports automatically so that developers 
can pe rform their tasks by consulting shorter summaries instead of entire bug reports. We 
investigated whether existing conversation-based automated summarizers are applicable to 
bug reports and found that the quality of generated summaries is similar to summaries 
produced for email threads and other conversations. We also trained a summarizer on a 
bug report corpus. This summarize r produces summaries that are statistically better than 
summaries produced by existing conversation-based generators. To determine if 
automatically produced bug report summaries can help a developer with their work, we 
conducted a task-based evaluation that considered the use of summaries for bug report 
duplicate detection tasks. We found that summaries helped the study participants save 
time, that there was no evidence that accuracy degraded when summaries were used and 
that most participants preferred working with summaries to working with original bug 
reports. 
Existing system: 
Software developers access bug reports in a project’s bug repository to help with a number 
of different tasks, including understanding how previous changes have been made and 
understanding multiple aspects of particular defects. A developer’s interaction with 
existing bug reports often requires perusing a substantial amount of text. In this article, we
investigate whether it is possible to summarize bug reports automatically so that developers 
can perform their tasks by consulting shorter summaries instead of entire bug report. 
Proposed system: 
We investigated whether existing conversation-based automated summarizers are 
applicable to bug reports and found that the quality of generated summaries is similar to 
summaries produced for email threads and other conversations. We also trained a 
summarize r on a bug report corpus. This summarizer produces summaries that are 
statistically better than summaries produced by existing conversation-based generators. To 
determine if automatically produced bug report summaries can help a developer with their 
work, we conducted a task-based evaluation that conside red the use of summaries for bug 
report duplicate detection tasks. We found that summaries helped the study participants 
save time, that there was no evidence that accuracy degraded when summaries were used 
and that most participants preferred working with summaries to working with original 
bug reports. 
SYSTEM CONFIGURATION:- 
HARDWARE CONFIGURATION:- 
 Processor - Pentium –IV 
 Speed - 1.1 Ghz 
 RAM - 256 MB(min) 
 Hard Disk - 20 GB 
 Key Board - Standard Windows Keyboard 
 Mouse - Two or Three Button Mouse 
 Monitor - SVGA 
SOFTWARE CONFIGURATION:- 
 Operating System : Windows XP 
 Programming Language : JAVA 
 Java Version : JDK 1.6 & above.
2014 IEEE JAVA SOFTWARE ENGINEERING PROJECT Automatic summarization of bug reports

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2014 IEEE JAVA SOFTWARE ENGINEERING PROJECT Automatic summarization of bug reports

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Automatic Summarization of Bug Reports Abstract Software developers access bug reports in a project’s bug repository to help with a number of different tasks, including understanding how previous changes have been made and understanding multiple aspects of particular defects. A developer’s interaction with existing bug reports often requires perusing a substantial amount of text. In this article, we investigate whether it is possible to summarize bug reports automatically so that developers can pe rform their tasks by consulting shorter summaries instead of entire bug reports. We investigated whether existing conversation-based automated summarizers are applicable to bug reports and found that the quality of generated summaries is similar to summaries produced for email threads and other conversations. We also trained a summarizer on a bug report corpus. This summarize r produces summaries that are statistically better than summaries produced by existing conversation-based generators. To determine if automatically produced bug report summaries can help a developer with their work, we conducted a task-based evaluation that considered the use of summaries for bug report duplicate detection tasks. We found that summaries helped the study participants save time, that there was no evidence that accuracy degraded when summaries were used and that most participants preferred working with summaries to working with original bug reports. Existing system: Software developers access bug reports in a project’s bug repository to help with a number of different tasks, including understanding how previous changes have been made and understanding multiple aspects of particular defects. A developer’s interaction with existing bug reports often requires perusing a substantial amount of text. In this article, we
  • 2. investigate whether it is possible to summarize bug reports automatically so that developers can perform their tasks by consulting shorter summaries instead of entire bug report. Proposed system: We investigated whether existing conversation-based automated summarizers are applicable to bug reports and found that the quality of generated summaries is similar to summaries produced for email threads and other conversations. We also trained a summarize r on a bug report corpus. This summarizer produces summaries that are statistically better than summaries produced by existing conversation-based generators. To determine if automatically produced bug report summaries can help a developer with their work, we conducted a task-based evaluation that conside red the use of summaries for bug report duplicate detection tasks. We found that summaries helped the study participants save time, that there was no evidence that accuracy degraded when summaries were used and that most participants preferred working with summaries to working with original bug reports. SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above.