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Journal articles on the topic 'Software reusability'

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Published: 4 June 2021
Last updated: 31 January 2023

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1

McGettrick, A. D. "Software reusability." Information and Software Technology 37, no. 9 (January 1995): 523. http://dx.doi.org/10.1016/0950-5849(95)90017-9.

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2

Sidorov, N. A. "Software reusability." Cybernetics 25, no. 3 (1990): 340–46. http://dx.doi.org/10.1007/bf01069989.

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3

KLAPPENECKER, ANDREAS, and MARTIN RÖTTELER. "QUANTUM SOFTWARE REUSABILITY." International Journal of Foundations of Computer Science 14, no. 05 (October 2003): 777–96. http://dx.doi.org/10.1142/s0129054103002023.

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The design of efficient quantum circuits is an important issue in quantum computing. It is in general a formidable task to find a highly optimized quantum circuit for a given unitary matrix. We propose a quantum circuit design method that has the following unique feature: It allows to construct efficient quantum circuits in a systematic way by reusing and combining a set of highly optimized quantum circuits. Specifically, the method realizes a quantum circuit for a given unitary matrix by implementing a linear combination of representing matrices of a group, which have known fast quantum circuits. We motivate and illustrate this method by deriving extremely efficient quantum circuits for the discrete Hartley transform and for the fractional Fourier transforms. The sound mathematical basis of this design method allows to give meaningful and natural interpretations of the resulting circuits. We demonstrate this aspect by giving a natural interpretation of known teleportation circuits.
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4

Chaudhary, Ritika, and Ram Chatterjee. "Predilection of Reusability over Maintainability in Aspect-Oriented Systems." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (May 30, 2013): 423–35. http://dx.doi.org/10.24297/ijct.v6i3.4482.

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Maintenance is the important phase in software development lifecycle which initiates after the software has been deployed for use. Reusability is an important area of concern which depicts the extent to which a module can be used again in different applications with slight or no modification. Maintainability is one of the contributing factors for assessing Reusability. So, assessment of Reusability is preferred over Maintainability. This paper has been split into Introduction, Role of Maintainability, Role of reusability and conclusion. In the introduction section the concept that how the software evolves has been discussed. The second section focuses on the Role ofMaintainability. The third second emphasizes on the Role of Reusability within the domains of Object-Oriented Programming and Aspect-Oriented Programming. In the last section we have concluded that assessment of Reusability must be given more preference over the assessment of Maintainability.
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Singh, Sarbjeet, Sukhvinder Singh, and Gurpreet Singh. "Reusability of the Software." International Journal of Computer Applications 7, no. 14 (October 10, 2010): 38–41. http://dx.doi.org/10.5120/1338-1703.

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6

Nair, T. R. Gopalakrishnan, and R. Selvarani. "Estimation of software reusability." ACM SIGSOFT Software Engineering Notes 35, no. 1 (January 25, 2010): 1–6. http://dx.doi.org/10.1145/1668862.1668868.

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7

Prieto-Diaz, R., and P. Freeman. "Classifying Software for Reusability." IEEE Software 4, no. 1 (January 1987): 6–16. http://dx.doi.org/10.1109/ms.1987.229789.

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8

Prieto-Diaz, R. "Status report: software reusability." IEEE Software 10, no. 3 (May 1993): 61–66. http://dx.doi.org/10.1109/52.210605.

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9

Jones, Bill, Steve Litvintchouk, Jerry Mungle, Herb Krasner, John Mellby, and Herb Willman. "Issues in software reusability." ACM SIGAda Ada Letters IV, no. 5 (March 1985): 97–99. http://dx.doi.org/10.1145/1041339.1041345.

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10

WIECZERZYCKI, WALDEMAR. "Software Reusability through Versions." Software: Practice and Experience 26, no. 8 (August 1996): 911–27. http://dx.doi.org/10.1002/(sici)1097-024x(199608)26:8<911::aid-spe39>3.0.co;2-e.

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11

Zeinulabdeen, Ali, and Safwan Omar. "Expert System for Software Reusability." International Journal of Computer Applications 181, no. 1 (July 16, 2018): 39–47. http://dx.doi.org/10.5120/ijca2018917398.

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12

Anasuodei, Moko, Ojekudo, and Nathaniel Akpofure. "Software Reusability: Approaches and Challenges." International Journal of Research and Innovation in Applied Science 06, no. 05 (2021): 142–46. http://dx.doi.org/10.51584/ijrias.2021.6510.

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13

KumarSaini, Dinesh, and Moinuddin Ahmad. "Business Aspect of Software Reusability." International Journal of Applied Information Systems 4, no. 7 (December 15, 2012): 28–34. http://dx.doi.org/10.5120/ijais12-450812.

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14

Haron, Haryani, Ibraheem Y. Y. Ahmaro, Syed Ahmad Aljunid, and M. Bakri. "Software Reusability in Green Computing." Advanced Science Letters 21, no. 10 (October 1, 2015): 3283–87. http://dx.doi.org/10.1166/asl.2015.6454.

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15

Sharma, Arun, P. S. Grover, and Rajesh Kumar. "Reusability assessment for software components." ACM SIGSOFT Software Engineering Notes 34, no. 2 (February 28, 2009): 1–6. http://dx.doi.org/10.1145/1507195.1507215.

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16

Arango, Guillermo. "Software reusability and the Internet." ACM SIGSOFT Software Engineering Notes 20, SI (August 1995): 22–23. http://dx.doi.org/10.1145/223427.213970.

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17

PEDRYCZ, WITOLD, and JAMES WALETZKY. "Fuzzy Clustering in Software Reusability." Software: Practice and Experience 27, no. 3 (March 1997): 245–70. http://dx.doi.org/10.1002/(sici)1097-024x(199703)27:3<245::aid-spe83>3.0.co;2-0.

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18

SANDHU, PARVINDER SINGH, and HARDEEP SINGH. "SOFTWARE REUSABILITY MODEL FOR PROCEDURE BASED DOMAIN-SPECIFIC SOFTWARE COMPONENTS." International Journal of Software Engineering and Knowledge Engineering 18, no. 08 (December 2008): 1063–81. http://dx.doi.org/10.1142/s0218194008003982.

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Automatic reusability appraisal is helpful in evaluating the quality of developed or developing reusable software components and in identification of reusable components from existing legacy systems; that can save cost of developing the software from scratch. But the issue of how to identify reusable components from existing systems has remained relatively unexplored. In this paper, we mention a two-tier approach by studying the structural attributes as well as usability or relevancy of the component to a particular domain. We evaluate Probabilistic Latent Semantic Analysis (PLSA) approach, LSA's Singular Value Decomposition (SVD) technique, LSA's Semi-Discrete Matrix Decomposition (SDD) technique and Naïve Bayes approach to determine the Domain Relevancy of software components. It exploits the fact that Feature Vector codes can be seen as documents containing terms — the identifiers present in the components — and so text modeling methods that capture co-occurrence information in low-dimensional spaces can be used. In this research work, structural attributes of software components are explored using software metrics and quality of the software is inferred by Neuro-Fuzzy (NF) Inference engine, taking the metric values as input. The influence of different factors on the reusability is studied and the condition for the optimum reusability index is derived using Taguchi Analysis. The NF system is optimized by selecting initial rule-base through modified ID3 decision tree algorithm in combination with the results of Taguchi Analysis. The calculated reusability value enables to identify a good quality code automatically. It is found that the reusability value determined is close to the manual analysis used to be performed by the programmers or repository managers. So, the system developed can be used to enhance the productivity and quality of software development.
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19

Di Felice, P. "Reusability of mathematical software: a contribution." IEEE Transactions on Software Engineering 19, no. 8 (1993): 835–43. http://dx.doi.org/10.1109/32.238586.

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20

Singh, Sukhpal, and Inderveer Chana. "Enabling Reusability in Agile Software Development." International Journal of Computer Applications 50, no. 13 (July 28, 2012): 33–40. http://dx.doi.org/10.5120/7834-1132.

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21

Cheng, Jingwen. "A reusability-based software development environment." ACM SIGSOFT Software Engineering Notes 19, no. 2 (April 1994): 57–62. http://dx.doi.org/10.1145/181628.181641.

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22

Lubars, Mitchell D. "Affording higher reliability through software reusability." ACM SIGSOFT Software Engineering Notes 11, no. 5 (October 1986): 39–42. http://dx.doi.org/10.1145/382298.382367.

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23

Sneed, Harry M. "Measuring reusability of legacy software systems." Software Process: Improvement and Practice 4, no. 1 (March 1998): 43–48. http://dx.doi.org/10.1002/(sici)1099-1670(199803)4:1<43::aid-spip95>3.0.co;2-9.

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24

Mehboob, Bilal, Chun Yong Chong, Sai Peck Lee, and Joanne Mun Yee Lim. "Reusability affecting factors and software metrics for reusability: A systematic literature review." Software: Practice and Experience 51, no. 6 (March 2021): 1416–58. http://dx.doi.org/10.1002/spe.2961.

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25

Singh, Sarbjeet, Manjit Thapa, Sukhvinder singh, and Gurpreet Singh. "Software Engineering - Survey of Reusability Based on Software Component." International Journal of Computer Applications 8, no. 12 (October 10, 2010): 39–42. http://dx.doi.org/10.5120/1339-1736.

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26

Gill, Nasib S. "Importance of software component characterization for better software reusability." ACM SIGSOFT Software Engineering Notes 31, no. 1 (January 2006): 1–3. http://dx.doi.org/10.1145/1108768.1108771.

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27

Saini, G. L., Deepak Panwar, Sandeep Kumar, Vijander Singh, and Ramesh Chandra Poonia. "Predicting of Open Source Software Component Reusability Level Using Object-Oriented Metrics by Taguchi Approach." International Journal of Software Engineering and Knowledge Engineering 31, no. 02 (February 2021): 147–66. http://dx.doi.org/10.1142/s0218194021500030.

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Component-based software development (CBSD) is an efficient approach used by software developers to develop new software. The commercial off the shelf (COTS) and open-source software (OSS) are two styles to implement CBSD. The COTS provides the interface and depicts the black-box behavior, but does not support several software quality characteristics. On the other hard, OSS is a more efficient approach compared to COTS due to its source code availability. This research aims to identify the reusability level of OSS components from an online repository of OSS. The OSS components are classified based on Chidamber and Kemerer reusability metrics (CK-metrics). This paper proposed a mathematical model to establish the relationship between the reusability of CK-metrics. Reusability level of OSS component has been measured and most effective CK-metrics obtained by applying the Taguchi design and analysis of variance (ANOVA). The input parameters for the experimental design are evaluated based on the OSS repository. Performance analysis has been carried out based upon the interaction effect between the reusability of CK-metrics. Main effect plots are created to identify the most reusable component of the OSS. The genetic algorithm (GA) is used to predict the optimized value of the different control parameters. The results indicate that the OSS component reusability level is 0.698194. The reusability of software has a significant effect on the quality of software. The quality of software can be improved by increasing the reusability of software components.
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28

Al-Bastaki, Y., and W. Awad. "GADS and Reusability." Journal of Artificial Intelligence 3, no. 2 (March 15, 2010): 67–72. http://dx.doi.org/10.3923/jai.2010.67.72.

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29

Tripathi, Raghvendra Narain, and S. K. Jha. "Software Reusability for Component Based Control System." Indian Journal of Computer Science 3, no. 5 (October 1, 2018): 14. http://dx.doi.org/10.17010/ijcs/2018/v3/i5/138777.

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30

Chopra, Namrata, and Namrata Dhanda. "Reusability Estimation Model for Object Oriented Software." IARJSET 2, no. 12 (December 20, 2015): 164–68. http://dx.doi.org/10.17148/iarjset.2015.21231.

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31

Kim, Hyoseob, and Cornelia Boldyreff. "Software reusability issues in code and design." ACM SIGAda Ada Letters XVII, no. 6 (November 1997): 91–97. http://dx.doi.org/10.1145/264934.264945.

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32

Singh, Yogesh, Pradeep Kumar Bhatia, and Omprakash Sangwan. "Software reusability assessment using soft computing techniques." ACM SIGSOFT Software Engineering Notes 36, no. 1 (January 24, 2011): 1–7. http://dx.doi.org/10.1145/1921532.1921548.

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33

Jatain, Aman. "Metric based reusability analysis of software systems." Journal of Interdisciplinary Mathematics 23, no. 1 (January 2, 2020): 107–16. http://dx.doi.org/10.1080/09720502.2020.1721672.

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34

Nallamalli, Ranjana, and Durg Singh Chauhan. "Software Reusability Factor Based Reuse Readiness Levels." International Journal of Computer Trends and Technology 49, no. 1 (July 25, 2017): 1–8. http://dx.doi.org/10.14445/22312803/ijctt-v49p101.

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35

kola, Ade,O D., Ido,S A. wu, Oko,S O. lie, Jos,J V. hua, Akin,A O. sanya, E,M O. ze, and Ebiesuwa Seun. "Software Maintainability and Reusability using Cohesion Metrics." International Journal of Computer Trends and Technology 54, no. 2 (December 25, 2017): 63–73. http://dx.doi.org/10.14445/22312803/ijctt-v54p111.

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36

Netinant, Paniti. "Design Reusability and Adaptability for Concurrent Software." AASRI Procedia 5 (2013): 133–39. http://dx.doi.org/10.1016/j.aasri.2013.10.069.

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37

Thapar, Simrandeep Singh, Paramjeet Singh, and Shaveta Rani. "Reusability-based quality framework for software components." ACM SIGSOFT Software Engineering Notes 39, no. 2 (March 29, 2014): 1–5. http://dx.doi.org/10.1145/2579281.2579298.

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38

Guerrieri, Ernesto, Martin Griss, Doug Lea, Prashant Sridharan, and Will Tracz. "The impact of Java on software reusability." ACM SIGSOFT Software Engineering Notes 22, no. 3 (May 1997): 210–11. http://dx.doi.org/10.1145/258368.258426.

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39

Johnson, Paul, and Ceri Rees. "Reusability through fine-grain inheritance." Software: Practice and Experience 22, no. 12 (December 1992): 1049–68. http://dx.doi.org/10.1002/spe.4380221203.

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40

Dr Parul Gandhi, Bharti Bisht,. "Metric Approach to Anticipate Reusability of Object-Oriented (O-O) Software Systems." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 2456–67. http://dx.doi.org/10.17762/turcomat.v12i6.5690.

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In order to meet the fast software evolution, there is a call for the work on software development based process by reducing time as well as efforts. The aim of the development process should not only be developing software products and services but also focus on improving the quality of the particular software. Software Reusability can be considered as one of the solutions to achieve both objectives i.e. productivity as well as quality. There has been an evolution of various methods and techniques related to construction of reusable components over many years. Object-oriented approach also assures increased software reusability. It is easier to reuse object-oriented software rather than conventional software. The notion of reusability related to Object-oriented software can be achieved through inheritance which in turn contributes to development of reusable components. In this paper different metrics related to software reusability of Object-oriented software systems has been summarized and evaluated using Python. Three python-based programs are considered as datasets for this study-the first dataset depicts single-level inheritance, the second dataset depicts hierarchical inheritance whereas the third dataset depicts multilevel inheritance. This study shows more impact of multilevel inheritance on the reusability of Object-oriented software systems and also helped to understand the important role of metrics in evaluation of object-oriented systems.
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41

Mughal, Muhammad Hussain, and Zubair Ahmed Shaikh. "Software Atom: An approach towards software components structuring to improve reusability." Sukkur IBA Journal of Computing and Mathematical Sciences 1, no. 2 (December 31, 2017): 66. http://dx.doi.org/10.30537/sjcms.v1i2.31.

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Diversity of application domain compelled to design sustainable classification scheme for significantly amassing software repository. The atomic reusable software components are articulated to improve the software component reusability in volatile industry. Numerous approaches of software classification have been proposed over past decades. Each approach has some limitations related to coupling and cohesion. In this paper, we proposed a novel approach by constituting the software based on radical functionalities to improve software reusability. We analyze the element's semantics in Periodic Table used in chemistry to design our classification approach, and present this approach using tree-based classification to curtail software repository search space complexity and further refined based on semantic search techniques. We developed a Global unique Identifier (GUID) for indexing the functions and related components. We have exploited the correlation between chemistry element and software elements to simulate one to one mapping between them. Our approach is inspired from sustainability chemical periodic table. We have proposed software periodic table (SPT) representing atomic software components extracted from real application software. Based on SPT classified repository tree parsing & extraction to enable the user to program their software by customizing the ingredients of software requirements. The classified repository of software ingredients assist user to exploits their requirements to software engineer and enable requirement engineer to develop a rapid large-scale prototype with great essence. Furthermore, we would predict the usability of the categorized repository based on feedback of users. The continuous evolution of that proposed repository will be fine-tuned based on utilization and SPT would be gradually optimized by ant colony optimization techniques. Succinctly would provoke automating the software development process.
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42

M., Manoj H., and Nandakumar A. N. "Constructing Relationship between Software Metrics and Code Reusability in Object Oriented Design." APTIKOM Journal on Computer Science and Information Technologies 1, no. 2 (May 8, 2016): 63–76. http://dx.doi.org/10.34306/csit.v1i2.49.

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The role of design pattern in the form of software metric and internal code architecture for object-oriented design plays a critical role in software en-gineering in terms of production cost efficiency. This paper discusses about code reusability that is a frequently exercised cost saving methodology in IT produc-tion. After reviewing existing literatures towards study on software metrics, we found that very few studies are witnessed to incline towards code reusability. Hence, we developed a simple analytical model that establishes relationship between the design components of standard software metric and code reusability using case studies of three software projects (Customer Relationship Management project, Supply Chain Management project, and Enterprise Relationship Management project). We also testify our proposal using stochastic based Markov model to find that proposed system can extract significant information of maximized values of code reusability with increasing level of uncertainties of software project methodologies.
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43

M., Manoj H., and Nandakumar A. N. "Constructing Relationship between Software Metrics and Code Reusability in Object Oriented Design." APTIKOM Journal on Computer Science and Information Technologies 1, no. 2 (July 1, 2016): 63–76. http://dx.doi.org/10.11591/aptikom.j.csit.112.

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The role of design pattern in the form of software metric and internal code architecture for object-oriented design plays a critical role in software en-gineering in terms of production cost efficiency. This paper discusses about code reusability that is a frequently exercised cost saving methodology in IT produc-tion. After reviewing existing literatures towards study on software metrics, we found that very few studies are witnessed to incline towards code reusability. Hence, we developed a simple analytical model that establishes relationship between the design components of standard software metric and code reusability using case studies of three software projects (Customer Relationship Management project, Supply Chain Management project, and Enterprise Relationship Management project). We also testify our proposal using stochastic based Markov model to find that proposed system can extract significant information of maximized values of code reusability with increasing level of uncertainties of software project methodologies.
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44

Subha, R., Anandakumar Haldorai, and Arulmurugan Ramu. "Artificial Intelligence Model for Software Reusability Prediction System." Intelligent Automation & Soft Computing 35, no. 3 (2023): 2639–54. http://dx.doi.org/10.32604/iasc.2023.028153.

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45

Singh, Sunil Kumar, Kumar Rajnish, and Kamal K. Mehta. "Software Reusability through Object-Oriented Inheritance Tree Metric." i-manager's Journal on Software Engineering 3, no. 3 (March 15, 2009): 1–5. http://dx.doi.org/10.26634/jse.3.3.185.

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46

Amin, Fazal-e., Ahmad Kamil Mahmood, and Alan Oxley. "A Review of Software Component Reusability Assessment Approaches." Research Journal of Information Technology 3, no. 1 (January 1, 2011): 1–11. http://dx.doi.org/10.3923/rjit.2011.1.11.

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47

Cheng, Jingwen. "Improving the software reusability in object-oriented programming." ACM SIGSOFT Software Engineering Notes 18, no. 4 (October 1993): 70–74. http://dx.doi.org/10.1145/163626.163636.

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48

Rathee, Amit, and Jitender Kumar Chhabra. "Sensitivity Analysis of Evolutionary Algorithm for Software Reusability." MENDEL 25, no. 1 (June 24, 2019): 31–38. http://dx.doi.org/10.13164/mendel.2019.1.031.

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Fast and competitive software industry demands rapid development using Component Based Software Development (CBSD). CBSD is dependent on the availability of the high-quality reusable component libraries. Recently, evolutionary multi-objective optimization algorithms have been used to identify sets of reusable software components from the source-code of Object Oriented (OO) software, using different quality indicators (e.g. cohesion, coupling, etc.). Sometimes, these used quality indicators are quite sensitive towards the small variations in their values, although they should not be. Therefore, this paper analyzes the sensitivity of the evolutionary technique for three quality indicators used during the identification: Frequent Usage Pattern (FUP), Semantic and evolutionary coupling. The sensitivity analysis is performed on three widely used open-source OO software. The experimentation is performed by mutating the system to different degrees. Results of the empirical analysis indicate that the semantic parameter is most sensitive and important. Ignoring this feature highly degrades the quality; FUP relation is uniformly sensitive and evolutionary relations's sensitivity is non-uniform.
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49

Gandhi, Parul, and Pradeep Kumar Bhatia. "Estimation of generic reusability for object-oriented software." ACM SIGSOFT Software Engineering Notes 36, no. 4 (August 4, 2011): 1–4. http://dx.doi.org/10.1145/1988997.1989014.

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50

Etzkorn, L. H., W. E. Hughes, and C. G. Davis. "Automated reusability quality analysis of OO legacy software." Information and Software Technology 43, no. 5 (April 2001): 295–308. http://dx.doi.org/10.1016/s0950-5849(00)00169-5.

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