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research-article

Designite: a software design quality assessment tool

Authors:

Pratibha Mishra,

Rohit TiwariAuthors Info & Claims

BRIDGE '16: Proceedings of the 1st International Workshop on Bringing Architectural Design Thinking into Developers' Daily Activities

Pages 1 - 4

https://doi.org/10.1145/2896935.2896938

Published: 14 May 2016 Publication History

Abstract

Poor design quality and huge technical debt are common issues perceived in real-life software projects. Design smells are indicators of poor design quality and the volume of design smells found could be treated as the design debt of the software system. The existing smell detection tools focus largely on implementation smells and do not reveal a comprehensive set of smells that arise at design level. In this paper, we present Designite - a software design quality assessment tool. It not only supports comprehensive design smells detection but also provides a detailed metrics analysis. Further, it offers various features to help identify issues contributing to design debt and improve the design quality of the analyzed software system.

References

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Digital Library

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Digital Library

Cited By

Tandon SKumar VSingh V(2024)Optimization of Resource Allocation for Detection of Software Architectural Defects2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)10.23919/INDIACom61295.2024.10498952(889-892)Online publication date: 28-Feb-2024
https://doi.org/10.23919/INDIACom61295.2024.10498952
Perera JTempero ETu YBlincoe K(2024)A Systematic Mapping Study Exploring Quantification Approaches to Code, Design, and Architecture Technical DebtACM Transactions on Software Engineering and Methodology10.1145/367539333:7(1-44)Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1145/3675393
Sharma TSpinellis DConstantinou EBacchelli A(2024)Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0Proceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644881(284-288)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643991.3644881
Show More Cited By

Index Terms

Designite: a software design quality assessment tool
1. Software and its engineering
  1. Software notations and tools
    1. Software maintenance tools

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cover image ACM Conferences

BRIDGE '16: Proceedings of the 1st International Workshop on Bringing Architectural Design Thinking into Developers' Daily Activities

May 2016

32 pages

ISBN:9781450341530

DOI:10.1145/2896935

Copyright © 2016 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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ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS\DATC: IEEE Computer Society
TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

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Published: 14 May 2016

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ICSE '16

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IEEE-CS\DATC
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ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

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ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

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Cited By

Tandon SKumar VSingh V(2024)Optimization of Resource Allocation for Detection of Software Architectural Defects2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)10.23919/INDIACom61295.2024.10498952(889-892)Online publication date: 28-Feb-2024
https://doi.org/10.23919/INDIACom61295.2024.10498952
Perera JTempero ETu YBlincoe K(2024)A Systematic Mapping Study Exploring Quantification Approaches to Code, Design, and Architecture Technical DebtACM Transactions on Software Engineering and Methodology10.1145/367539333:7(1-44)Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1145/3675393
Sharma TSpinellis DConstantinou EBacchelli A(2024)Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0Proceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644881(284-288)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643991.3644881
Nunes HSantana AFigueiredo ECosta HBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)Tuning Code Smell Prediction Models: A Replication StudyProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644436(316-327)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643916.3644436
Yu DYang QChen XChen JWang SXu Y(2024)Actionable Code Smell Identification with Fusion Learning of Metrics and SemanticsScience of Computer Programming10.1016/j.scico.2024.103110(103110)Online publication date: Mar-2024
https://doi.org/10.1016/j.scico.2024.103110
Sharma TKechagia MGeorgiou STiwari RVats IMoazen HSarro F(2024)A survey on machine learning techniques applied to source codeJournal of Systems and Software10.1016/j.jss.2023.111934209:COnline publication date: 14-Mar-2024
https://dl.acm.org/doi/10.1016/j.jss.2023.111934
Yang QYu DChen XXu YYan WHu B(2024)Feature envy detection based on cross-graph local semantics matchingInformation and Software Technology10.1016/j.infsof.2024.107515174(107515)Online publication date: Oct-2024
https://doi.org/10.1016/j.infsof.2024.107515
Liu ALefever JHan YCai Y(2024)Prevalence and severity of design anti-patterns in open source programs—A large-scale studyInformation and Software Technology10.1016/j.infsof.2024.107429170(107429)Online publication date: Jun-2024
https://doi.org/10.1016/j.infsof.2024.107429
Biazotto JFeitosa DAvgeriou PNakagawa E(2024)Technical debt management automationInformation and Software Technology10.1016/j.infsof.2023.107375167:COnline publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1016/j.infsof.2023.107375
Tandon SKumar VSingh V(2024)Machine learning technique for generation of human readable rules to detect software code smells in open-source softwareLife Cycle Reliability and Safety Engineering10.1007/s41872-024-00261-x13:3(277-291)Online publication date: 20-Jul-2024
https://doi.org/10.1007/s41872-024-00261-x
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