Information disclosure behaviour in social media among Malaysian youth : the impact of privacy concern, risk and trust

People have been using Social Network Sites (SNS) to communicate and make friends through online. Although SNS has been benefited its users in many ways, information privacy seemed to be overlooked. This study proposes a framework to examine users? protective behaviour associated with information disclosure in SNS. The proposed framework was derived based on the Protection Motivation Theory and Privacy Concern

A static analysis of android source code for lifecycle development usage patterns

Building robust Android apps is a non-trivial task that requires skilled developers to understand various Android platform peculiarities. However, among the Android developers community, a large fractions are considered to be novice and inexperienced developers. One of the main peculiarities in the Android app development is the activity lifecycle model. A developer needs to have deep understanding of the different lifecycle states and callback methods that an Android activity can go through during its runtime. These callback methods are called by the system whenever an app activity changes its state. The developer needs to override appropriate callback methods correctly to avoid app memory leaks and data loss or other phone resource compromise. Detailed static analysis of software applications provides actionable insights and helps us to understand how applications are actually built. Although there have been many studies focusing on static analysis of Android apps in the areas of testing, quality, design, privacy and security; no studies to date focus on lifecycle development practices and usage patterns thus far. In this paper, we analyzed 842 open-source Android apps containing 5577 activities to explore and understand how Android developers actually comply with best practices regarding the Android activity lifecycle model. We developed a tool named SAALC that is capable of analyzing Android activities and extracting valuable information about lifecycle callback methods usage. Our results show, which callback methods are implemented and the nature of the code they contain. The results also show incorrect implementation of the callback methods and incorrect acquiring and releasing of system resources in many Android apps and we argue that a relatively large fraction of Android developers do not sufficiently well understand the app lifecycle model. We also discuss our results in comparison to the Android app lifecycle model best practices

Information disclosure behaviour in social media among Malaysian youth: the impact of privacy concern, risk and trust

People have been using Social Network Sites (SNS) to communicate and make friends through online. Although SNS has been benefited its users in many ways, information privacy seemed to be overlooked. This study proposes a framework to examine users’ protective behaviour associated with information disclosure in SNS. The proposed framework was derived based on the Protection Motivation Theory and Privacy Concer

Investigating the effects of personality traits on pair programming in a higher education setting through a family of experiments

Evidence from our systematic literature review revealed numerous inconsistencies in findings from the Pair Programming (PP) literature regarding the effects of personality on PP’s effectiveness as a pedagogical tool. In particular: i) the effect of differing personality traits of pairs on the successful implementation of pair-programming (PP) within a higher education setting is still unclear, and ii) the personality instrument most often used had been Myers-Briggs Type Indicator (MBTI), despite being an indicator criticized by personality psychologists as unreliable in measuring an individual’s personality traits. These issues motivated the research described in this paper. We conducted a series of five formal experiments (one of which was a replicated experiment), between 2009 and 2010, at the University of Auckland, to investigate the effects of personality composition on PP’s effectiveness. Each experiment looked at a particular personality trait of the Five-Factor personality framework. This framework comprises five broad traits (Openness to experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism), and our experiments focused on three of these - Conscientiousness, Neuroticism, and Openness. A total of 594 undergraduate students participated as subjects. Overall, our findings for all five experiments, including the replication, showed that Conscientiousness and Neuroticism did not present a statistically significant effect upon paired students’ academic performance. However, Openness played a significant role in differentiating paired students’ academic performance. Participants’ survey results also indicated that PP not only caused an increase in satisfaction and confidence levels but also brought enjoyment to the tutorial classes and enhanced students’ motivation

Analysis of expert’s opinion on requirements patterns for software product families framework using GQM method

Software product line engineering (SPLE), provides an opportunity to improve reuse of software artifacts through domain engineering and application engineering processes. During the domain engineering process, reuse activities of the product line are well-planned and subsequently executed in the application engineering process. This paper presents an analysis of interview result with experts in requirements engineering (RE) and software development for validating requirements pattern for software product families (RP-SPF) framework. The interview was conducted using goal questions metrics (GQM) method to define a goal and formulate research questions for conducting the interview. During the interview, 6 experts compared RP-SPF approach (systematic) with ad hoc (conventional) approach of reuse and documentation of requirements in terms of suitability, efficiency, and effectiveness in SPLE. The experts also gave their feedback on the perception of the use of RP-SPF tool. The analysis of the interview result shows that RP-SPF approach is suitable in SPLE and more efficient and effective than ad hoc approach of reuse and documentation of requirements

How personality traits are interrelated with team climate and team performance in software engineering?: a preliminary study

Personality and its impacts on team processes in the domain of software engineering have been an area of investigation for many researchers since the last many years. However, personality traits and its effects on team climate and team performance were not being focused as area of research. In our previous research, we had performed a systematic literature review on team climate and team productivity. In progression of our earlier work in this paper, we have extended the work and take personality traits as an independent variable over team climate and performance. This paper reports the results of preliminary data survey, which has been conducted to measure the effects of personality on team climate and team performance. Results show the strong and positive correlation among personality factor Extraversion, team climate and team performance variables

Social networks peacebuilding event mining: a systematic literature review

Social Networks (SNs) becomes a major source of reporting new events happens in real life even before the news channels and other media sources nowadays. The objective of this paper is to get insight of peacebuilding (Pb) event mining (EM) from SNs (e.g., tweets, Fb posts, etc) by conducting the systematic Literature (SLR) process. The paper aims to answer some research questions (RQs) that includes: 1) Which SN's has been widely used for Textual PbEM?; 2)What Context or setting has been focussed of PbEM studies and how to catagorize Pb events?, and 3) What other types of events are reported? The SLR process has been used to identify the related literature and for analysis of evidences in order to answer the RQs. This paper concluded on the basis of SLR studies that the "twitter" is the most frequently used SN for Textual Peacebuilding Event Mining (PbEM) because 54 out of 64 studies on PbEM uses Twitter. SLR resulted that earth quake (EQ) events are the major concerned events that e�ect country's economy and peace as compare therefore most of studies uses the EQ as context/setting. The paper presents the details on categories of Pb events, contexts/settings and the list of other types of events or topics that are the center of the research nowadays based on synthesis of evidences

Terms extractions: an approach for requirements reuse

This paper presents a solution to a requirements reuse problem that utilises natural language processing and information retrieval technique. We proposed a semi-automated approach to extract the software features from online software review to assist the process to reuse natural language requirements. We have conducted an experiment to compare the manual feature extraction versus the semi-automated feature extraction. We used compilations of software review from the Internet as a source of this extraction process. The extracted software features are compared against the features obtained manually by human and the evaluation results obtained in terms of time, precision, recall, and F-Measure indicate a promising result