Quality Characteristics of Mobile Learning Applications

• Published in: Informatica economica Vol. 23; no. 4/2019; pp. 72 - 88
• Main Author: MIHAIL-VADUVA, Dinu
• Format: Journal Article
• Language: English
• Published: Bucharest INFOREC Association 30.12.2019; Inforec Association
• Subjects: android; Applications programs; Bridge construction; Complexity; Curricula; econometrics; Efficiency; Interoperability; Java; Laboratories; Learning; mobile applications; Mobile communications networks; Mobile computing; mobile learning; Online instruction; Quality assessment; quality metrics; Scientific papers; Software; Software quality; Testability
• ISSN: 1453-1305; 1842-8088
• DOI: 10.12948/issn14531305/23.4.2019.07

Software quality evaluation for mobile application is a subject with major implications onto educational evaluating process. The place where teacher and his educable person build a temporary social relation is connected to an environment where success is correlated with a mobile-driven mindset. A suitable examination of such mobile learning - environment implies quality characteristics like functional correctness and testability and should be conducted with proper tools if we desire to use mobile learning applications for implementing into a collaborative scenario toward complex classroom events. In this article we are making a raised mark above quality characteristics of mobile learning applications because this is the starting point to acquire a certain comprehension concerning a better utilization of such methods for obtaining knowledge. We construct a potential bridge between two quality characteristics of mobile learning applications to show how to transfer practical results from one quality characteristic toward another to sustain an experimental study with adjacent outline involving mobile programming laboratory curricula. We focus our attention above a software quality metric, the so-called statement code coverage (CC), to obtain a synergic effect between a blackbox approach and a white-box technique in order for developing and testing Android mobile applications. For reaching our desideratum we studied scientific papers regarding the complexity of quality characteristics applied to mobile learning applications, from a general to a particular view, to shed light above previous gathering observations concerning our mission. We have a genuine desire to reveal technical instructions needed to be executed in order to obtain a reproducible pattern of a manually testing process, concerning an Android mobile application, conducted by a beta-testing team of users.