A clustering-based model for class responsibility assignment problem in object-oriented analysis

Masoud, Hamid; Jalili, Saeed

doi:10.1016/j.jss.2014.02.053

Cited by 29 publications

(18 citation statements)

References 22 publications

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“…Briand, and Y. Labiche [8] proposed method is used to set the association relationships between the elements of the design model. For generalization, this is implemented by inheritance in programming languages using the method from H. Masoud, and S. Jalili [17].…”

Section: Setting Relationshipmentioning

confidence: 99%

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

Vorsu¹,

Arramraju²,

Bhanothu³

2018

IJIES

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Object Oriented Program (OOP) provides the way to reuse the program by pre-implementing functionalities in the software. It is difficult to develop the object oriented software, which is important in the computer programing. For OOP, modularization mainly depends on the class. There are many methods present for the assigning responsibilities, but most of them are based on the human for decision making. In this research, back propagation neural network (BPNN) was used to provide the solution to object oriented design of the software. The Cinema Booking System (CBS) was taken as the input documentation and Formal Concept analysis (FCA) then found the relationship of the element in the lattice manner, after that the relationship was set with each other. The result showed that the proposed system outperformed the existing system and also the design made manually.

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Section: Setting Relationshipmentioning

confidence: 99%

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

Vorsu¹,

Arramraju²,

Bhanothu³

2018

IJIES

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“…The association relationship is a connection between classes and Bowman et al [16] technique is used for set associative relationship between the element. The method proposed by Masoud et al [17], which implements the inheritance for generalization.…”

Section: Setting Relationshipsmentioning

confidence: 99%

Streamlining Object Oriented Programming Approach based on Cuckoo Search Back Propagation Neural Network

Mallaiah¹,

Vinaya²,

Nagaprasad³

2018

IJCA

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Software reuse is helps to maintain the software and reduce much time in delivering, and cost and also improve quality. Most organization is considering software reuse is the crucial task and lot of algorithm is used for maintaining the software. The efficient management of monitoring data is essential for many software industries. The evolutionary test generation's development in the recent years helps to test most of Object Oriented Program (OOP). In this method, Cuckoo Search Back Propagation Neural Network (CSBP) facilitates Class Responsibility Assignment in the software. The Cinema Booking System (CBS) is used to evaluate the function of the proposed system and existing system. Cuckoo Search (CS) algorithm find best solution for the class arrangement and Back Propagation Neural Network (BPNN) analyze best solution in backward direction. The proposed method gives better result than the existing technique used in the OOP for software reuse. The parameters evaluated from the techniques are Cohesion, Complexity, Cost function and Coupling. The cohesion value is the measure of element in the software belongs together and value of cohesion in proposed method is achieved up to 0.5862.

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“…Solving this problem implies to decide where classes belong and how objects should interact. Producing a class diagram where the right number of modules is chosen and a proper assignment of classes is realized is a non‐trivial task, often requiring human judgment and decision‐making . In fact, the problem has an exponentially growing search space of potential class partitions given by the Bell number

B_{n + 1} = true {true\sum}_{k = 0}^{n} ((), \begin{array}{c} center & n \\ center & k \end{array}) B_{k}

.…”

Section: Prerequisites and Running Examplementioning

confidence: 99%

Search‐based model transformations

Fleck

Troya

Wimmer

2016

J Software Evolu Process

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Model transformations are an important cornerstone of model‐driven engineering, a discipline which facilitates the abstraction of relevant information of a system as models. The success of the final system mainly depends on the optimization of these models through model transformations. Currently, the application of transformations is realized either by following the apply‐as‐long‐as‐possible strategy or by the provision of explicit rule orchestrations. This implies two main limitations. First, the optimization objectives are implicitly hidden in the transformation rules and their orchestration. Second, manually finding the best orchestration for a particular scenario is a major challenge due to the high number of possible combinations. To overcome these limitations, we present a novel framework that builds on the non‐intrusive integration of optimization and model transformation technologies. In particular, we formulate the transformation orchestration task as an optimization problem, which allows for the efficient exploration of the transformation space and explication of the transformation objectives. Our generic framework provides several search algorithms and guides the user in providing a proper search configuration. We present different instantiations of our framework to demonstrate its feasibility, applicability, and benefits using several case studies. Copyright © 2016 John Wiley & Sons, Ltd.

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A clustering-based model for class responsibility assignment problem in object-oriented analysis

Cited by 29 publications

References 22 publications

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

Streamlining Object Oriented Programming Approach based on Cuckoo Search Back Propagation Neural Network

Search‐based model transformations

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