SYSTEMATIC METRICS ANALYSIS OF OBJECT AND ASPECT ORIENTED PARADIGM

Abstract

Measuring characteristics that are essential to a software project's success is made possible by software metrics. The characteristics and connections between them become clearer when these attributes are measured. This, in turn, helps people make better decisions. Inconsistent, irregular, and infrequent measurements have an impact on software engineering. Software testing becomes the necessary portion of software development because it lets process attributes be measured. The management can gain a deeper understanding of the software testing procedure by measuring its attributes. This research aims to develop, execute and validate metrics as well as methodologies for recognizing few significant aspects that influence software development, estimating the effect of user-initiated variations on a software system. The work presented in the thesis strategies to help with decisions that affect software improvement. Further, research addresses the following matters: Analyzing the scope to which shifting necessities influence the design of a model, guiding the delegation of responsibilities to software components, combining Aspect Oriented Programming (AOP) and Object Oriented Programming (OOP) to best offer a model's operation, as well as determining whether and how outsourced and offshore development influences a system's design. This work on metrics and methods serve as heuristics throughout the life cycle phase of software improvement, assisting experts in selecting possibilities and making decisions. Test development pprocedures as well as software test planning on employee management system have a variety of measurable attributes, according to the survey of the literature. For the purposes of the software test planning and test design processes, the study divided these characteristics into multiple categories.Currently available measurements are examined for each of these characteristics. This thesis presents a consolidation of these measurements with the intention of providing management with an opportunity to consider process enhancements. With increased use of software applications, the quality assessment of software, such as gain consequence, defect measurement. In numerous empirical studies of software products, measurement of metrics are regarded as the main pointer of software maintenance as well as imperfection prediction. AOPbecomes one of the novel development approaches, but no one can agree that which metrics considerd to be as reliable quality indicators. By providing a newly developed system constructs like inter-type, advice and point cuts associations, AOP hopes to improve programming quality. As a result, it is unclear whether direct expansions of conventional OO vii evaluations can yield quality pointers for AOP. However, established coupling measurements are frequently used in AOP research. In spite of the fact that AOP has only recently been used in pragmatic research, coupling cohesion have been used as beneficial indicators of fault inclination in this perspective. This research examinethe most recent metrics for measuring the development of Aspect Oriented systems.