In large-scale software development projects, change impact analysis (CIA) plays an
important role in controlling software design evolution. Identifying and accessing the effects …

Recent findings suggest that Information Retrieval (IR)-based bug localization techniques do
not perform well if the bug report lacks rich structured information (eg, relevant program …

This paper introduces BEE, a tool that automatically analyzes user-written bug reports and
provides feedback to reporters and developers about the system's observed behavior (OB) …

Software developers frequently issue generic natural language queries for code search
while using code search engines (eg, GitHub native search, Krugle). Such queries often do …

Text Retrieval (TR) has been widely used to support many software engineering tasks,
including bug localization (ie, the activity of localizing buggy code starting from a bug report) …

In Stack Overflow, developers may not clarify and summarize the critical problems in the
question titles due to a lack of domain knowledge or poor writing skills. Previous studies …

Abstract Information retrieval fault localization (IRFL) is a popular research field and many
IRFL approaches have been proposed recently. Unfortunately, the evaluation of some of …

Text Retrieval (TR)-based approaches for bug localization rely on formulating an initial
query based on the full text of a bug report. When the query fails to retrieve the buggy code …

When bugs are reported, one important task is to check if they are new or if they were
reported before. Many approaches have been proposed to partially automate duplicate bug …

Bug reports are essential for developers to confirm software problems, investigate their
causes, and validate fixes. Unfortunately, reports often miss important information or are …