Panel: Context-Dependent Evaluation of Tools for NL RE Tasks: Recall vs. Precision, and beyond
Berry D M, Clelandhuang J, Ferrari A, Walid M, John M, Didar Z
Abstraction finding Ambiguity find App review analysis False negatives False positives Information retrieval Natural language processing Precision Recall Requirements specification defect finding Tracing
Context and Motivation Natural language processing has been used since the 1980s to construct tools for performing natural language (NL) requirements engineering (RE) tasks. The RE field has often adopted information retrieval (IR) algorithms for use in implementing these NL RE tools. Problem Traditionally, the methods for evaluating an NL RE tool have been inherited from the IR field without adapting them to the requirements of the RE context in which the NL RE tool is used. Principal Ideas This panel discusses the problem and considers the evaluation of tools for a number of NL RE tasks in a number of contexts. Contribution The discussion is aimed at helping the RE field begin to consistently evaluate each of its tools according to the requirements of the tool's task.
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@inproceedings{oai:it.cnr:prodotti:382477,
title = {Panel: Context-Dependent Evaluation of Tools for NL RE Tasks: Recall vs. Precision, and beyond},
author = {Berry D M and Clelandhuang J and Ferrari A and Walid M and John M and Didar Z},
year = {2017}
}
0000-0002-0636-5663