scholarly journals Object oriented metrics to measure the quality of software upon PHP source code with PHP_depend study case request online system application

2017 ◽  
Author(s):  
Sarwo ◽  
Harco Leslie Hendric Spits Warnars ◽  
Ford Lumban Gaol ◽  
Richard Randriatoamanana
Keyword(s):  
System Application ◽  
Source Code ◽  
Object Oriented ◽  
Online System ◽  
Study Case ◽  
Object Oriented Metrics

JAVASCRIPT ASYNCHRONOUS PROGRAMMING

2019 ◽  
Vol 128 (2B) ◽  
pp. 5-16
Author(s):  
Tran Thanh Luong ◽  
Le My Canh
Keyword(s):  
Design Patterns ◽  
Source Code ◽  
Object Oriented ◽  
Exception Handling ◽  
Code Smells ◽  
Asynchronous Programming ◽  
Event Driven ◽  
Programming Patterns ◽  
The Impact

JavaScript has become more and more popular in recent years because its wealthy features as being dynamic, interpreted and object-oriented with first-class functions. Furthermore, JavaScript is designed with event-driven and I/O non-blocking model that boosts the performance of overall application especially in the case of Node.js. To take advantage of these characteristics, many design patterns that implement asynchronous programming for JavaScript were proposed. However, choosing a right pattern and implementing a good asynchronous source code is a challenge and thus easily lead into less robust application and low quality source code. Extended from our previous works on exception handling code smells in JavaScript and exception handling code smells in JavaScript asynchronous programming with promise, this research aims at studying the impact of three JavaScript asynchronous programming patterns on quality of source code and application.

A SYSTEMATIC REVIEW OF THE EMPIRICAL VALIDATION OF OBJECT-ORIENTED METRICS TOWARDS FAULT-PRONENESS PREDICTION

2013 ◽  
Vol 23 (10) ◽  
pp. 1513-1540 ◽  
Author(s):  
BASSEY ISONG ◽  
EKABUA OBETEN
Keyword(s):  
Empirical Studies ◽  
Object Oriented ◽  
Strong Impact ◽  
Empirical Validation ◽  
Relevant Article ◽  
System Failures ◽  
The Impact ◽  
Fault Proneness ◽  
Object Oriented Metrics

Object-oriented (OO) approaches of software development promised better maintainable and reusable systems, but the complexity resulting from its features usually introduce some faults that are difficult to detect or anticipate during software change process. Thus, the earlier they are detected, found and fixed, the lesser the maintenance costs. Several OO metrics have been proposed for assessing the quality of OO design and code and several empirical studies have been undertaken to validate the impact of OO metrics on fault proneness (FP). The question now is which metrics are useful in measuring the FP of OO classes? Consequently, we investigate the existing empirical validation of CK + SLOC metrics based on their state of significance, validation and usefulness. We used systematic literature review (SLR) methodology over a number of relevant article sources, and our results show the existence of 29 relevant empirical studies. Further analysis indicates that coupling, complexity and size measures have strong impact on FP of OO classes. Based on the results, we therefore conclude that these metrics can be used as good predictors for building quality fault models when that could assist in focusing resources on high risk components that are liable to cause system failures, when only CK + SLOC metrics are used.

An Analytical Evolution of Usability for Object Oriented Metrics

2018 ◽  
Vol 7 (12) ◽  
pp. 61
Author(s):  
Sanjeev Punia ◽  
Kuldeep Malik ◽  
Harendra Singh
Keyword(s):  
Early Stage ◽  
Object Oriented ◽  
Development Environment ◽  
Design Metrics ◽  
Object Oriented Design ◽  
Software Development Environment ◽  
Design Characteristics ◽  
Day By Day ◽  
Object Oriented Metrics

Object oriented design metrics are most essential part of software development environment and being more popular day by day. This study focus on a set of object oriented metrics that can be used to measure the quality of an object oriented design. The object oriented design metrics focus on the measurements of class and design characteristics. These measurements permit designers to access the software in the early stage of the process and changes accordingly to reduce complexity and improve the continuing capability of the design. This paper summarizes the existing metrics those guide the designers to support their design. We categorized and discussed metrics in such a way that novice designers can apply metrics in their design as needed.

scholarly journals A New Metric for Class Cohesion for Object Oriented Software

2019 ◽  
Vol 17 (3) ◽  
pp. 411-421
Author(s):  
Anjana Gosain ◽  
Ganga Sharma
Keyword(s):  
Pearson Correlation ◽  
Source Code ◽  
Object Oriented ◽  
Empirical Validation ◽  
Strongly Correlated ◽  
Pearson Correlation Analysis ◽  
Measure Class ◽  
Instance Variable ◽  
The Relationship

Various class cohesion metrics exist in literature both at design level and source code level to assess the quality of Object Oriented (OO) software. However, the idea of cohesive interactions (or relationships) between instance variables (i.e., attributes) and methods of a class for measuring cohesion varies from one metric to another. Some authors have used instance variable usage by methods of the class to measure class cohesion while some focus on similarity of methods based on sharing of instance variables. However, researchers believe that such metrics still do not properly capture cohesiveness of classes. Therefore, measures based on different perspective on the idea of cohesive interactions should be developed. Consequently, in this paper, we propose a source code level class cohesion metric based on instance variable usage by methods. We first formalize three types of cohesive interactions and then categorize these cohesive interactions by providing them ranking and weights in order to compute our proposed measure. To determine the usefulness of the proposed measure, theoretical validation using a property based axiomatic framework has been done. For empirical validation, we have used Pearson correlation analysis and logistic regression in an experimental study conducted on 28 Java classes to determine the relationship between the proposed measure and maintenance-effort of classes. The results indicate that the proposed cohesion measure is strongly correlated with maintenance-effort and can serve as a good predictor of the same.

scholarly journals Module Changeability On Software Quality Measurement Of Municipal Government Inventory System

2020 ◽  
Vol 1 (1) ◽  
pp. 53-60
Author(s):  
Fikri Fadlillah
Keyword(s):  
Software Quality ◽  
Research Method ◽  
Measurement Method ◽  
Municipal Government ◽  
Quality Measurement ◽  
Object Oriented ◽  
Inventory System ◽  
Software Quality Measurement ◽  
Object Oriented Metrics

Inventoring have a function to report the budget realization in the municipal region. SIMSEDIA is an application that helps SKPD on Pekalongan city shall administer the inventory. The purpose of this study was to measure the quality of software SIMSEDIA to determine which features are likely to be developed. The measurement method referring to ISO 9126 models and object-oriented metrics. Measuring the quality specified in the aspect of changeability.The research method consists of:(1) Business Process Review, (2) Module Review, (3) Tools Selection, (4) Modul Measurement, and (5) Result. The results of this study will be a barometer of changeability of SIMSEDIA at the Municipal Government in the development of inventory system to be more optimal.   Keywords: coupling, inventory, metrics, module, simsedia

Analyzing Evolution Patterns of Object-Oriented Metrics

2019 ◽  
Vol 6 (3) ◽  
pp. 49-66
Author(s):  
Ruchika Malhotra ◽  
Megha Khanna
Keyword(s):  
Software Metrics ◽  
Software Evolution ◽  
Structural Characteristics ◽  
Object Oriented ◽  
Study Groups ◽  
Four Dimensions ◽  
Maintenance Decisions ◽  
Software Practitioners ◽  
Object Oriented Metrics

Software evolution is mandatory to keep it useful and functional. However, the quality of the evolving software may degrade due to improper incorporation of changes. Quality can be monitored by analyzing the trends of software metrics extracted from source code as these metrics represent the structural characteristics of a software such as size, coupling, inheritance etc. An analysis of these metric trends will give insight to software practitioners regarding effects of software evolution on its internal structure. Thus, this study analyzes the trends of 14 object-oriented (OO) metrics in a widely used mobile operating system software, Android. The study groups the OO metrics into four dimensions and analyzes the trends of these metrics over five versions of Android software (4.0.2-4.3.1). The results of the study indicate certain interesting patterns for the evaluated dimensions, which can be helpful to software practitioners for outlining specific maintenance decisions to improve software quality.

CODE CLONE DETECTION USING OBJECT ORIENTED METRICS

2020 ◽  
Vol 9 (6) ◽  
pp. 3925-3931
Author(s):  
S. Sharma ◽  
D. Rattan ◽  
K. Singh
Keyword(s):  
Object Oriented ◽  
Clone Detection ◽  
Code Clone ◽  
Object Oriented Metrics
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