“…As the study concentrates on four object-oriented design constructs therefore the researcher has gathered following object-oriented design metrics from the literature [33,34,35,36,37,38,39,40,41,42]. …”
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.
“…As the study concentrates on four object-oriented design constructs therefore the researcher has gathered following object-oriented design metrics from the literature [33,34,35,36,37,38,39,40,41,42]. …”
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.
“…As the proposed reliability model concentrates on objectoriented paradigm in its design phase. Therefore the researcher has gathered following fourteen object-oriented design metrics from various available sources [30,31,32,33,34,35,36,37,38,39]…”
The paper presents a reliability prediction model that predicts the reliability of the developing software using fuzzy inference system. The focus of the study is on the reliability prediction prior to the coding phase so that the developers use this information for optimally performing resource planning and quality assessment of the software under development. Requirements and object-oriented design level product measures have participated for early reliability prediction. The paper has also utilized the strengths of fuzzy logic to deal with the uncertainties and vagueness involved in the early stage measures. The model has also been statistically validated through the data set obtained through twenty real software projects. The values of the Pearson's correlation coefficient along with the predictive accuracy measures are quite encouraging, and support that the developed model is a better and improved reliability prediction model.
“…The second factor is largely solvable. Author discussed a simple casual model for software defect prediction, and commercial-scale version of the defect prediction models [11].…”
Section: Historical Background: Coupling With Complexitymentioning
This research article examines the role of coupling in making of software complex. An inference has been made that more coupling increases complexity which results unreliable system. Different kinds of coupling is proposed and defined in the paper. Direct coupling implementation method has been developed to provide system high reliability by marinating coupling of design constructs to minimize complexity of object oriented software.
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