Rack: Automatic api recommendation using crowdsourced knowledge
Traditional code search engines often do not perform well with natural language queries
since they mostly apply keyword matching. These engines thus need carefully designed …
since they mostly apply keyword matching. These engines thus need carefully designed …
Effective reformulation of query for code search using crowdsourced knowledge and extra-large data analytics
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 …
while using code search engines (eg, GitHub native search, Krugle). Such queries often do …
Automatic query reformulation for code search using crowdsourced knowledge
Traditional code search engines (eg, Krugle) often do not perform well with natural language
queries. They mostly apply keyword matching between query and source code. Hence, they …
queries. They mostly apply keyword matching between query and source code. Hence, they …
A Systematic Review of Automated Query Reformulations in Source Code Search
Fixing software bugs and adding new features are two of the major maintenance tasks.
Software bugs and features are reported as change requests. Developers consult these …
Software bugs and features are reported as change requests. Developers consult these …
STRICT: Information retrieval based search term identification for concept location
During maintenance, software developers deal with numerous change requests that are
written in an unstructured fashion using natural language. Such natural language texts …
written in an unstructured fashion using natural language. Such natural language texts …
Eye gaze and interaction contexts for change tasks–observations and potential
The more we know about software developers' detailed navigation behavior for change
tasks, the better we are able to provide effective tool support. Currently, most empirical …
tasks, the better we are able to provide effective tool support. Currently, most empirical …
Improved query reformulation for concept location using coderank and document structures
During software maintenance, developers usually deal with a significant number of software
change requests. As a part of this, they often formulate an initial query from the request texts …
change requests. As a part of this, they often formulate an initial query from the request texts …
A historical, textual analysis approach to feature location
Context Feature location is the task of finding the source code that implements specific
functionality in software systems. A common approach is to leverage textual information in …
functionality in software systems. A common approach is to leverage textual information in …
The forgotten role of search queries in ir-based bug localization: an empirical study
Being light-weight and cost-effective, IR-based approaches for bug localization have shown
promise in finding software bugs. However, the accuracy of these approaches heavily …
promise in finding software bugs. However, the accuracy of these approaches heavily …
Software mining studies: Goals, approaches, artifacts, and replicability
The mining of software archives has enabled new ways for increasing the productivity in
software development: Analyzing software quality, mining project evolution, investigating …
software development: Analyzing software quality, mining project evolution, investigating …