Comparison Study and Review on Object-Oriented Metrics

The best elucidations to software development problems are regularly touted as object-oriented processes. The popularity of object-oriented design metrics is essential in software engineering for measuring the software complexity, estimating size, quality and project efforts. There are various approaches through which we can find the software cost estimation and predicates on various kinds of deliverable items. Object-oriented metrics assures to reduce cost and the maintenance effort by serving as early predictors to estimate software faults. Such an early quantification augments the quality of the final software. This paper reviews object-oriented metrics. A comparison table is maintained via which we can analyze the difference between all the object-oriented metrics effectively

Integrity Estimation Model: Fault Perspective

An integrity estimation model for object oriented design fault perspective has been proposed in this paper. Integrity has been recognized as a major factor to software security, an importance is being drawn to measure integrity early in development life cycle. No such model has been available in the literature that estimates security of object oriented design by taking fault parameters into consideration. A suit of design metrics useful in measuring integrity of software has been recognized. It becomes more significant in the case of object oriented design fault perspective. In this study a metrics based Integrity Estimation Model (IEMOODF) for object oriented design has been developed and justifying the correlation with the help of experimental tryouts. Finally the developed model ?Integrity Estimation Model? is empirically validated and contextual importance of the study shows the high correlation for proposed model acceptance

Estimation of Defect proneness Using Design complexity Measurements in Object- Oriented Software

Software engineering is continuously facing the challenges of growing complexity of software packages and increased level of data on defects and drawbacks from software production process. This makes a clarion call for inventions and methods which can enable a more reusable, reliable, easily maintainable and high quality software systems with deeper control on software generation process. Quality and productivity are indeed the two most important parameters for controlling any industrial process. Implementation of a successful control system requires some means of measurement. Software metrics play an important role in the management aspects of the software development process such as better planning, assessment of improvements, resource allocation and reduction of unpredictability. The process involving early detection of potential problems, productivity evaluation and evaluating external quality factors such as reusability, maintainability, defect proneness and complexity are of utmost importance. Here we discuss the application of CK metrics and estimation model to predict the external quality parameters for optimizing the design process and production process for desired levels of quality. Estimation of defect-proneness in object-oriented system at design level is developed using a novel methodology where models of relationship between CK metrics and defect-proneness index is achieved. A multifunctional estimation approach captures the correlation between CK metrics and defect proneness level of software modules.Comment: 5 pages, 1 figur

A Metrics-based Framework for Estimating the Maintainability of Object-Oriented Software

Time,  effort  and  money  required  in  maintaining software has always  been  considered  greater  than  its  development  time. Also, its ambiguity in forecast at early stage of software development makes the process more complicated. The early estimation of maintainability will significantly help software designers to adjust the software product, if there is any fault, in early stages of designing. By doing this; time, effort and money required in maintaining software will be lessened. Although Object Oriented Software Development (OOSD) approach is equipped for enhancing software maintainability, a method for finding out if the required level of maintenance is being achieved amid the development process is required. This can be accomplished through measurement. This paper outlines the need and importance of maintainability at design phase and develops a Metrics-Based Maintainability Estimation Framework for Object-Oriented software(MEFOOS) that estimates the maintainability of object oriented software components in regard of their Understandability, Modifiability and Portability—which are the sub-attributes of maintainability. Keywords: Software maintenance, Software Maintainability, maintainability model, Software Metrics, Software Component DOI: 10.7176/JIEA/9-4-02 Publication date:June 30th 201

Effort Estimation Development Model for Web-Based Mobile Application Using Fuzzy Logic

Effort estimation becomes a crucial part in software development process because false effort estimation result can lead to delayed project and affect the successful of a project. This research proposes a model of effort estimation for web-based mobile application developed using object oriented approach. In the proposed model, functional size measurement of object oriented based web application named OOmFPWeb, web metric and mobile characteristic for web-based mobile application size measurement are combnined. The estimation process is done by using mamdani fuzzy logic method. To evaluate the proposed model, the comparison between OOmFPWeb as the variable that affect effort estimation for web-based mobile application and the proposed model are performed. The evaluation result shows that effort estimation for web-based mobile application with the proposed model is better than just using OOmFPWeb

Cost Model for Reengineering an Object Oriented Software System

The cost of reengineering of object-oriented software is often significantly less than the cost of developing new software. Object oriented software systems are more reusable. Reengineering of software systems rather than developing new software will save precious time and resources. Reengineering reduces the cost of maintenance by increasing the software quality and reducing complexity.To justify reengineering, the cost of reengineering software must be estimated and compared with the cost of new software. The cost of reengineering depends upon many factors but major factors are the portion of the software (number of objects) to be reengineered and complexity (interrelationship between objects) of the software. In this paper efforts are done to present a reengineering cost estimation model. On the basis of this model, software managers can take a decision whether to maintain, reengineer or retire the software

Towards integration of FP weights into CP class complexity evaluation for effort estimation

Software development effort estimation is vital to project success. Both underestimates and overestimates of software effort are universal phenomenon in the software industry, which is critical for resource allocation and bidding. The Class Point (CP) system level object-oriented size measure was proposed as an adaptation of Function Point (FP) analysis for effort estimation purposes. However, the dataset for validation is limited to 40 university student's projects. This implementation is not only threatens the external validity of the conclusions but also the type of project has raised the issue on its weight allocation. In this paper, we proposed an alternative sizing approach for object-oriented effort estimation by integrating the FP's new calibrated weights into the CP's class complexity evaluation criteria. A preliminary correlation coefficient investigation on this integration using the six industrial verified object-oriented projects have shows that the proposed approach can be used with high confidence for effort estimation under object-oriented development paradigm