International Conference on Advanced Software Engineering and Its Applications 

About: International Conference on Advanced Software Engineering and Its Applications is an academic conference. The conference publishes majorly in the area(s): Software quality & Software. Over the lifetime, 216 publications have been published by the conference receiving 1009 citations.

A Systematic Literature Review of Software Process Improvement in Small and Medium Web Companies

Abstract: The objective of this paper is to identify existing Software Process Improvement (SPI) models and techniques used by small and medium Web companies. We performed a systematic review of studies that applied SPI models and techniques to Web companies. Four papers applied SPI techniques or models to Web companies, and our results showed that none suggested any customized model or technique to measure the SPI of Web companies. The SLR also revealed the characteristics of some small and medium companies and suggested that they have tight budget constraints, tight deadlines and a short term strategy. Finally, our SLR showed that the measures of success for small and medium Web companies included development team and client satisfaction, increase in productivity, compliance with standards and overall operational excellence. The results of this review showed that very few studies have specifically focused on SPI for Web companies, despite the large number of existing Web companies worldwide, and the even larger number of Web applications being currently developed. This clearly indicates a research gap in this area, with numerous avenues for future work.

Requirements Engineering Problems and Practices in Software Companies: An Industrial Survey

Abstract: This paper presents about a study conducted to investigate the current state of Requirements Engineering (RE) problems and practices amongst the software development companies in Malaysia. The main objective of the study is to determine areas in RE process that should be addressed in future research in order to improve the process. Information required for the study was obtained through a survey, questionnaires distributed to project managers and software developers who are working at various software development companies in the country. Results show that software companies in this study are still facing great challenges in getting their requirements right due to organizational and technical factors. Also, we found out that high-maturity ratings do not generally correlate better performance and do not indicate effective, high-maturity practices especially to the RE practices. The findings imply that we must consider both human and technical problems, with extra care should be given to the technical issues and all the RE practices in our future research which is to re-build a specialized RE process improvement model.

Comparison of Relational Database with Document-Oriented Database (MongoDB) for Big Data Applications

Abstract: Database can accommodate a very large number of users on an on-demand basis. The main limitations with conventional relational database management systems (RDBMS) are that they are hard to scale with Data warehousing, Grid, Web 2.0 and Cloud applications, have non-linear query execution time, have unstable query plans and have static schema. Even though RDBMS's have provided database users with the best mix of simplicity, robustness, flexibility, performance, scalability and compatibility but they are not able to satisfy the present day users and applications for the reasons mentioned above. The next generation NonSQL (NoSQL) databases are mostly non-relational, distributed and horizontally scalable and are able to satisfy most of the needs of the present day applications. The main characteristics of these databases are schema-free, no join, non-relational, easy replication support, simple API and eventually consistent. The aim of this paper is to illustrate how a problem being solved using MySQL will perform when MongoDB is used on a Big data dataset. The results are encouraging and clearly showcase the comparisons made. Queries are executed on a big data airlines database using both MongoDB and MySQL. Select, update, delete and insert queries are executed and performance is evaluated.

Current Trends in Usability Evaluation Methods: A Systematic Review

Abstract: Since usability is considered as a critical success factor for any software application, several evaluation methods have been developed. Nowadays, it is possible to find many proposals in the literature that address to evaluate usability issues. However, there is still discussion about what usability evaluation method is the most widely accepted by the scientific community. In this research, a systematic review was performed to identify the evaluation methods that have been more employed over the last three years in order to assess the level of usability of a software application. From these results, it has been possible to establish clear evidence about the current trends in this field. A total of 274 usability studies have allowed to reach useful information for scholars in this area.

Discovering Decision Tree Based Diabetes Prediction Model

Abstract: Data mining techniques have been extensively applied in bioinformatics to analyze biomedical data. In this paper, we choose the Rapid-I’s RapidMiner as our tool to discover decision tree based diabetes prediction model from a Pima Indians Diabetes Data Set, which collects the information of patients with and without developing diabetes. Following the data mining process, our discussion will focus on the data preprocessing, including attribute identification and selection, outlier removal, data normalization and numerical discretization, visual data analysis, hidden relationships discovery, and a diabetes prediction model construction.