research-article

GQM-based Tree Model for Automatic Recommendation of Design Pattern Category

Authors:

Clara K. Youssef,

Farida M. Ahmed,

Hashem M. Hashem,

Veronia E. Talaat,

Taraggy GhanimAuthors Info & Claims

ICSIE '20: Proceedings of the 9th International Conference on Software and Information Engineering

Pages 126 - 130

https://doi.org/10.1145/3436829.3436862

Published: 05 January 2021 Publication History

Abstract

Software Design Patterns (DP) are formal approaches that propose generic reusable solutions to different design problems. Building DP automatic recommendation system is one of the most challenging topics in the field of software industry to improve the final software quality. Proposing a DP for a design problem requires good base knowledge about each DP and its functionality. In this paper, we propose an approach that automatically recommends the appropriate design pattern category. The proposed approach is a Goal Question Metric (GQM) based tree model of questions. The software engineer answers these questions based on the user requirements, and finally the approach recommends the category of the suitable DP category based on our designed tree model. The GQM is responsible for weight calculation process at each node based on the questions' answers. The software engineer is responsible for delivering the user requirements to our system, via answering the proposed model. The precision and accuracy obtained by our system is 80\% while the recall is 100\%.

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Cited By

Farina MGorb AKruglov ASucci G(2022)Technologies for GQM-Based Metrics Recommender Systems: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.315239710(23098-23111)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3152397
Braham AKhemaja MBuendía FGargouri F(2021)A Hybrid Recommender System for HCI Design Pattern RecommendationsApplied Sciences10.3390/app11221077611:22(10776)Online publication date: 15-Nov-2021
https://doi.org/10.3390/app112210776

Index Terms

GQM-based Tree Model for Automatic Recommendation of Design Pattern Category
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software design engineering

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cover image ACM Other conferences

ICSIE '20: Proceedings of the 9th International Conference on Software and Information Engineering

November 2020

251 pages

ISBN:9781450377218

DOI:10.1145/3436829

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Ain Shams University: Ain Shams University, Egypt

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Association for Computing Machinery

New York, NY, United States

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Published: 05 January 2021

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ICSIE 2020

ICSIE 2020: 2020 9th International Conference on Software and Information Engineering

November 11 - 13, 2020

Cairo, Egypt

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Cited By

Farina MGorb AKruglov ASucci G(2022)Technologies for GQM-Based Metrics Recommender Systems: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.315239710(23098-23111)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3152397
Braham AKhemaja MBuendía FGargouri F(2021)A Hybrid Recommender System for HCI Design Pattern RecommendationsApplied Sciences10.3390/app11221077611:22(10776)Online publication date: 15-Nov-2021
https://doi.org/10.3390/app112210776

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