research-article

Clustering Software Project Components for Strategic Decisions and Building Reuse Libraries

Authors:

Chintakindi Srinivas,

Vangipuram Radhakrishna,

C. V. Guru RaoAuthors Info & Claims

ICEMIS '15: Proceedings of the The International Conference on Engineering & MIS 2015

Article No.: 62, Pages 1 - 5

https://doi.org/10.1145/2832987.2833075

Published: 24 September 2015 Publication History

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Abstract

A Software Repository is a collection of function codes, library files, software requirement specification documents, software design patterns, architectural specifications to name a few. Software Engineers and Programmers analyse, design, implement, develop and build the software libraries, software projects as a continuous process. Mining Software Components for efficient reuse is the current topic of interest among researchers working in the areas of Software Reuse and Information Retrieval. A comparatively less research is contributed in this direction and has a good scope for research. In this paper, the main idea is to cluster the software projects, software components from the available repository and use these clusters in choosing the suitable software component quickly and efficiently. The software clustering process may also be used to estimate and know the hidden knowledge of software systems. We use the similarity function of our previous work submitted at the ACM ISDOC Conference [12] for the purpose of clustering the software projects and software components. The clusters formed may be used to estimate the hidden knowledge and behavior of software projects. The approach carried out is a feature vector based approach.

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Chintakindi Srinivas, Vangipuram Radhakrishna, C.V. Guru Rao, Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries, Procedia Computer Science, Volume 31, 2014, Pages 1044--1050, ISSN 1877-0509

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Cheruvu AVangipuram R(2021)A Survey of Similarity Measures for Time stamped Temporal DatasetsInternational Conference on Data Science, E-learning and Information Systems 202110.1145/3460620.3460754(193-197)Online publication date: 5-Apr-2021
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Index Terms

Clustering Software Project Components for Strategic Decisions and Building Reuse Libraries
1. Information systems
  1. Information systems applications

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Published In

ICEMIS '15: Proceedings of the The International Conference on Engineering & MIS 2015

September 2015

429 pages

ISBN:9781450334181

DOI:10.1145/2832987

Conference Chair:
Shadi Aljawarneh,
Program Chair:
Bassam Al-Shargabi

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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The Isra University
University of Aizu: University of Aizu
IBM: IBM

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2015

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ICEMIS '15

ICEMIS '15: The International Conference on Engineering & MIS 2015

September 24 - 26, 2015

Istanbul, Turkey

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Overall Acceptance Rate 215 of 605 submissions, 36%

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Bandaru RPola SThadem SPendyala KVangipuram RVangipuram S(2021)Design and Analysis of activation functions used in deep learning modelsThe 7th International Conference on Engineering & MIS 202110.1145/3492547.3492575(1-5)Online publication date: 11-Oct-2021
https://dl.acm.org/doi/10.1145/3492547.3492575
Cheruvu AVangipuram R(2021)A Survey of Similarity Measures for Time stamped Temporal DatasetsInternational Conference on Data Science, E-learning and Information Systems 202110.1145/3460620.3460754(193-197)Online publication date: 5-Apr-2021
https://dl.acm.org/doi/10.1145/3460620.3460754
M.S.B PC.V GVangipuram RCheruvu A(2021)Similarity Association Pattern Mining in Transaction DatabasesInternational Conference on Data Science, E-learning and Information Systems 202110.1145/3460620.3460752(180-184)Online publication date: 5-Apr-2021
https://dl.acm.org/doi/10.1145/3460620.3460752
Mortha MMaddala SRaju V(2021)Detection of Text from Video with Customized Trained AnatomyInternational Conference on Data Science, E-learning and Information Systems 202110.1145/3460620.3460623(12-17)Online publication date: 5-Apr-2021
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Mortha MMaddala SRaju V(2021)Data Preprocessing for Learning, Analyzing and Detecting Scene Text Video based on Rotational GradientInternational Conference on Data Science, E-learning and Information Systems 202110.1145/3460620.3460621(1-8)Online publication date: 5-Apr-2021
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Kumar KSrinivasan RSingh ESydykov YAljawarneh S(2019)High dimensional document classification using novel similarity functionProceedings of the 5th International Conference on Engineering and MIS10.1145/3330431.3330462(1-6)Online publication date: 6-Jun-2019
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