Reliability Estimation of Object-Oriented Software: Design Phase Perspective

Kumar, Anil; Dhanda, Namrata

doi:10.17148/ijarcce.2015.43137

Cited by 3 publications

(5 citation statements)

References 14 publications

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“…The equations of developed multivariate models are as follows: Table 7 presents the reliability values at the design stage from both the models. Now observing the table values it can be easily inferred that the reliability model (ESRPM) developed in this research is predicting the software reliability of the developing software at the design stage quiet accurately than the model developed in [20]. …”

Section: Comparison On Reliability Valuesmentioning

confidence: 87%

“…In another study [20] Kumar and Dhanda, developed a model for predicting the reliability of object-oriented design. Initially the study had developed two multivariate regression models for computing effectiveness as well as functionality, subsequently these two quality attributes were used as independent variables for estimating the software reliability at the design stage.…”

Section: Related Workmentioning

confidence: 99%

“…Kumar and Dhanda, [20] proposed a Reliability estimation model for object-oriented software in design phase. The model computes reliability in terms of effectiveness and functionality.…”

Section: Comparison On Reliability Valuesmentioning

confidence: 99%

“…The researcher has computed the Pearson's Correlation Coefficient between the predicted values of reliability (through the proposed model and [20]) and the actual values of the reliability (from the dataset). Looking at the values of the following Table 8 …”

Section: Comparison On Correlation Coefficientmentioning

confidence: 99%

See 3 more Smart Citations

Early Stage Software Reliability Modeling using Requirements and Object-Oriented Design Metrics: Fuzzy Logic Perspective

Rizvi¹,

Khan²,

Singh³

2017

IJCA

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In the current scenario as the influence of information technology has been rising day by day, the industry is facing the pressure of developing software with higher level of reliability. Generally it is an accepted fact that the roots of unreliability lies in ill defined requirements and design documents. With this spirit, researcher has proposed and implemented a reliability prediction model through fuzzy inference system that utilizes early stage product based measures from requirements and object-oriented design stages. The study starts with the review findings those have been used as foundation for proposing a reliability quantification framework. Subsequently this framework has implemented in the form of reliability prediction model that predicts reliability at the requirements as well as design level through its output variable. The model has been validated as well as quantitatively compared with two existing reliability models. The obtained results are quite encouraging and supports that the proposed framework and reliability prediction model are better. Consideration of requirements phase along with the object-oriented design provides this paper an edge over other similar studies those are based on only design phase. Because ignoring requirements deficiencies and only concentrating on design constructs will not help in developing reliable software.

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Section: Comparison On Reliability Valuesmentioning

confidence: 87%

Section: Related Workmentioning

confidence: 99%

“…Kumar and Dhanda, [20] proposed a Reliability estimation model for object-oriented software in design phase. The model computes reliability in terms of effectiveness and functionality.…”

Section: Comparison On Reliability Valuesmentioning

confidence: 99%

Section: Comparison On Correlation Coefficientmentioning

confidence: 99%

See 2 more Smart Citations

Early Stage Software Reliability Modeling using Requirements and Object-Oriented Design Metrics: Fuzzy Logic Perspective

Rizvi¹,

Khan²,

Singh³

2017

IJCA

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“…(2015), conducted a survey on various techniques that extract from various journals and conferences and analyze the widely used methodologies and techniques used to predict software reliability. Kumar R and Gupta N (2015); in order to establish a relationship between reliability and complexity, as used the respective influence of the relationship between complexity and reliability.…”

Section: Introductionmentioning

confidence: 99%

Assessing Software Reliability Using Genetic Algorithms

Jain

Sharma

2019

Jou. Eng. Res.

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The role of software reliability and quality improvement is becoming more important than any other issues related to software development. To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy logic, and other evolutionary algorithms. A genetic algorithm has been explored for predicting software reliability. One of the important aspects of software quality is called software reliability, thus, software engineering is of a great place in the software industry. To increase the software reliability, it is mandatory that we must design a model that predicts the fault and error in the software program at early stages, rectify them and then increase the functionality of the program within a minimum time and in a low cost. There exist numerous algorithms that predict software errors such as the Genetic Algorithm, which has a very high ability to predict software bugs, failure and errors rather than any other algorithm. The main purpose of this paper is to predict software errors with so precise, less time-consuming and cost-effective methodology. The outcome of this research paper is showing that the rates of applied methods and strategies are more than 96 percent in ideal conditions.

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