Evaluating the Understandability of Android Applications

Abstract

Understandability is one of the major quality attributes used to measure the understandability of object oriented software and Android applications based on certain metrics. It is very important in most software development life cycles because misunderstanding any of the steps of the software development life cycle will lead to a poor-quality product. Mobile applications, like any software, need to be maintained and evolved over time, so understanding them is essential to their maintainability, reliability, quality and reusability. In this research, the authors discuss the importance of understandability in Android applications and determine the most influential metrics by using Metrics Reloaded tool to measure the metrics values. Then, based on these values, they develop a formula to measure the understandability for Android applications. The results show that the understandability of Android application can be measured by the formula developed based on object oriented and Android metrics.

A Case Study on Maintainability of Open Source Software System Jabref

“…Justification: Supportive aspects like why the certain metrics are selected for that internal attribute. 1) Understandability: It is an important attribute in software development process as it plays a vital role in maintaining the software product as understanding the models can help in modifying, analysing the system for later requirements and advancements which indeed save a lot of cost and time for avoiding the implementation errors [19]. Hence understandability is affected with various factors hence out of those many factors Comment ratio (CR), efferent coupling (Ce)and afferent coupling (Ca) are considered [16] in this study.…”

Research Trends in Software Engineering Field: A Literature Review

“…Locating faulty modules in any software is considered as an essential step, because it helps to define the modules that need more testing and refactoring. Classification techniques on software fault prediction are widely investigated due to the necessity to decrease testing efforts and increase the software quality [11], [13], [25], [21], [22]. findings of previous researches done on this field has not shown which classifier is superior to the other, a comparative software fault prediction experiments in [10] integrate neural networks and genetic programming [52] performed on 4 datasets from the NASA Metrics Data repository.…”

Development of Infant Care System Application

“…The Proposed GUI for the application named NANNYDUINO as a remote controlled application for sample e-crib as discussed in Figs. 8,9,10,11,12,13,14 and 15 with details.…”

“…Mobile applications, like any other software, have become more complex and should be constantly updated to: correct errors, add or remove functions, improve the user interface and more [11]. Today, babies can feel more comfortable with health control and doctors or guardians are immediately informed by mobile phone when health status is threatened.…”