Predicting Query Quality for Applications of Text Retrieval to Software Engineering Tasks

2017 ◽  
Vol 26 (1) ◽  
pp. 1-45 ◽  
Author(s):  
Chris Mills ◽  
Gabriele Bavota ◽  
Sonia Haiduc ◽  
Rocco Oliveto ◽  
Andrian Marcus ◽  
...  
Keyword(s):  
Software Engineering ◽  
Text Retrieval ◽  
Query Quality

scholarly journals On the Analysis of Human and Automatic Summaries of Source Code

2012 ◽  
Vol 15 (2) ◽  
Author(s):  
Laura Moreno ◽  
Jairo Aponte
Keyword(s):  
Software Engineering ◽  
Empirical Study ◽  
Source Code ◽  
Initial Step ◽  
Text Retrieval ◽  
Internal Quality ◽  
Automatic Summarization ◽  
Software Artifacts ◽  
Automatic Methods

Within the software engineering field, researchers have investigated whether it is pos- sible and useful to summarize software artifacts, in order to provide developers with concise representations of the content of the original artifacts. As an initial step to- wards automatic summarization of source code, we conducted an empirical study where a group of Java developers provided manually written summaries for a variety of source code elements. Such summaries were analyzed and used to evaluate some summarization techniques based on Text Retrieval. This paper describes what are the main features of the summaries written by developers, what kind of information should be (ideally) included in automatically generated sum- maries, and the internal quality of the summaries generated by some automatic methods.

scholarly journals Automatic query reformulations for text retrieval in software engineering

2013 ◽  
Author(s):  
Sonia Haiduc ◽  
Gabriele Bavota ◽  
Andrian Marcus ◽  
Rocco Oliveto ◽  
Andrea De Lucia ◽  
...  
Keyword(s):  
Software Engineering ◽  
Text Retrieval

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

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