A Systematic Literature Review of an Object Oriented Metric: Reusability

Padhy, Neelamadhab; Panigrahi, Rasmita; Baboo, Sarada

doi:10.1109/cine.2015.44

Cited by 14 publications

(5 citation statements)

References 6 publications

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“…Zahara et al, 2013 [9] compared MLR, M5P, IBk and Additive Regression algorithms for reusability evaluation and found that IBk outperforms compared to other MLA with no distance weighting using the WEKA tool [12]. Pathy et al, 2015 [13] reviewed the static reusability metrics and concluded that reusability increases then reciprocally increase the DIT and NOC. Godara et al, 2016 [14] proposed an adaptive neuro-fuzzy inference system (ANFIS), SRPM based on static and traditional metrics and concluded that the hybrid neuro-fuzzy model trained well and gives satisfactory results for reusability measurement of software.…”

Section: Research Workmentioning

confidence: 99%

Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques

Duhan¹,

Bhatia²

2022

IJC

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Dynamic metrics capture the run time features of object-oriented languages, i.e., runtime polymorphism, dynamic binding, etc., that are not covered by static metrics. Therefore, in this paper, we derived a new approach to measuring the software reusability of a design pattern based on dynamic metrics. To achieve this, the authors proposed a model based on five parameters, i.e., polymorphism, inheritance, number of children, coupling, and complexity, to measure the reusability factor by using various soft computing techniques, i.e., Fuzzy, Neural Network, and Neuro-Fuzzy. Further, we also compared the proposed model with four existing machine learning algorithms. Lastly, we found that the proposed model using the neuro-fuzzy technique is trained well and predicts well with MAE (Mean absolute error) 0.003 and RMSE (Root mean square error) 0.009 based on dynamic metrics. Hence, it is concluded that dynamic metrics are a better predictor of the reusability factor than static metrics.

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Section: Research Workmentioning

confidence: 99%

Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques

Duhan¹,

Bhatia²

2022

IJC

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“…A case study has been taken that how to evaluate the reusability by using machine learning regression algorithms and proved. Finally, the comparison of novel regression algorithms and mentioned with a tabular form then WEKA software to compare and plotting the graph used [14].…”

Section: Mohit Kumar Sharma Sandeep Ranjan Amardeep Guptamentioning

confidence: 99%

Object-Oriented Metrics for Quality Improvement of Object-Oriented Software

Sharma*,

Ranjan,

Gupta

2020

IJITEE

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Software metric is a computation of characteristics of a programming applications for quality enhancement. Software metrics are used to access the productivity and efficiency of a software product. These are helpful to understand the technical procedure used to create software. Software metric enables software engineers to assess software quality, software process improvement, monitoring and controlling of software. Object-Oriented Software Development is related to real-world objects and their characteristics creation instead of working in software applications. Class Objects have their own internal data structure, which defines their data and methods. Object-Oriented design restrained all the properties and worth of software that is allied to any large or small project. Object-Oriented metric is a measurement term in which a Object-Oriented Software holds features. These are guidelines that give an indication of the progress that a project has made quality.

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“…Increasing the efficiency of software development teams and lowering associated expenses throughout the lifecycle of a software system are two goals of the long-studied topic of software reusability. Additionally, the primary function of reusability is to enhance the ability of software applications to be maintained and to offer mechanisms for data integration between information systems and interoperability [2]. The vast majority of current educational and academic systems are long-lasting programs that are frequently created using a monolithic architecture.…”

Section: Introductionmentioning

confidence: 99%

Reusability of Legacy Software Using Microservices: An Online Exam System Example

Abed Hamed

2023

JQCM

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A new design approach called microservices-based architecture is quickly emerging as one of the most efficient ways to re-architect aging enterprise systems and reengineer them into new modern systems . Microservice architecture is essential for creating high-quality, scalable, high-performance, and easy-to-maintain software. The newest method of creating new applications or reorganizing existing systems is the microservice-based architecture. It is thought to be more efficient in a number of areas than the more traditional service-oriented design, including: such as maintainability, dependability, scalability, and agility. Software Engineering developed an architecture with independent and autonomous components known as the microservice architecture in response to the requirement to enhance and evolve software architecture design. Online exams are crucial components of education. It minimizes the vast amount of material resources and is both quick and effective. However, monolithic design, which was used to create online exam systems, has more issues and is incompatible with cloud computing, distribution, or new technologies. This paper presents on evolving and reusability a legacy enterprise system (Online Exam) using a microservice architecture. the study's contributions To update a legacy enterprise system, feature-driven microservice-specific transformation rules are adopted. Performance, maintainability, scalability, and testability are prioritized when comparing a historical monolithic architecture to a microservice architecture.

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A Systematic Literature Review of an Object Oriented Metric: Reusability

Cited by 14 publications

References 6 publications

Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques

Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques

Object-Oriented Metrics for Quality Improvement of Object-Oriented Software

Reusability of Legacy Software Using Microservices: An Online Exam System Example

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