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The prototype offers four distinct features currently. I provided 12 bug reports from the ECF repository.
How to execute your own query for a specific Bug ID?
How to execute the baseline queries for a specific change request?
How to get suggested queries from STRICT for a single change request?
How to get suggested queries from STRICT for all the change requests?
Tasks to be Performed
Using these above features, the students should answer the following questions:
Note: **QE** = *Query Effectiveness*. The lower the QE is, the better the query is.
However, QE= -1 means *RESULT NOT FOUND*, i.e., the worst query.
T1: Report your output for each of the sample commands provided in the README file.
T2: What is the best query you can come up with for each change request/bug report? The better your query is, the higher your grade is. Use the above available features to answer this question.
T3: What is the rank improvement between your query and the best performing baseline query? Suppose, your QE is 10 and the baseline QE is 20. Then you have a rank improvement of 10.
T4: Provide your best query for each change request/bug report which is the shortest in length, i.e., contains the least amount of keywords.
The text was updated successfully, but these errors were encountered:
Available Features
The prototype offers four distinct features currently. I provided 12 bug reports from the ECF repository.
Tasks to be Performed
Using these above features, the students should answer the following questions:
T1:
Report your output for each of the sample commands provided in the README file.T2:
What is the best query you can come up with for each change request/bug report? The better your query is, the higher your grade is. Use the above available features to answer this question.T3:
What is the rank improvement between your query and the best performing baseline query? Suppose, your QE is 10 and the baseline QE is 20. Then you have a rank improvement of 10.T4
: Provide your best query for each change request/bug report which is the shortest in length, i.e., contains the least amount of keywords.The text was updated successfully, but these errors were encountered: