Analyzing the Impact of Natural Language Processing over Feature Location in Models (GPCE 2017 - - 16th International Conference on Generative Programming: Concepts & Experience)

Who

Raúl Lapeña, Jaime Font, Oscar Pastor, Carlos Cetina

Track

GPCE 2017

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When

Mon 23 Oct 2017 13:55 - 14:20 at Regency A - Variability Chair(s): Ina Schaefer

Abstract

Feature Location (FL) is a common task in the Software Engineering field, specially in maintenance and evolution of software products. The results of FL depend in a great manner in the style in which Feature Descriptions and software artifacts are written. Therefore, Natural Language Processing (NLP) techniques are used to process them. Through this paper, we analyze the influence of the most common NLP techniques over FL in Conceptual Models through Latent Semantic Indexing, and the influence of human participation when embedding domain knowledge in the process. We evaluated the techniques in a real-world industrial case study in the rolling stocks domain.

Authorizer Link

http://dl.acm.org/authorize?N47295
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DOI

https://doi.org/10.1145/3136040.3136052

Raúl Lapeña

San Jorge University, Spain

Jaime Font

San Jorge University, Spain

Oscar Pastor

Universitat Politècnica de València, Spain

Carlos Cetina

San Jorge University, Spain

Time Zone

The program is currently displayed in (GMT-07:00) Tijuana, Baja California.

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Session Program

Mon 23 Oct
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13:30 - 15:00	VariabilityGPCE 2017 at Regency A Chair(s): Ina Schaefer Technische Universität Braunschweig

13:30 25m Talk		A Classification of Variation Control Systems GPCE 2017 Lukas Linsbauer Johannes Kepler University Linz, Thorsten Berger Chalmers University of Technology, Sweden / University of Gothenburg, Sweden, Paul Grünbacher JKU Linz, Austria DOI Authorizer link
13:55 25m Talk		Analyzing the Impact of Natural Language Processing over Feature Location in Models GPCE 2017 Raúl Lapeña San Jorge University, Spain, Jaime Font San Jorge University, Spain, Oscar Pastor Universitat Politècnica de València, Spain, Carlos Cetina San Jorge University, Spain DOI Authorizer link
14:20 25m Talk		How Preprocessor Annotations (Do Not) Affect Maintainability: A Case Study on Change-PronenessBest Paper GPCE 2017 Wolfram Fenske University of Magdeburg, Germany, Sandro Schulze University of Magdeburg, Germany, Gunter Saake University of Magdeburg, Germany DOI Authorizer link