No abstract

Adapting users need to fulfill their requirements and delivering products to be on time within the planned cost, is critical matter that all software project managers (SPM) put the highest priority for it while considering the users satisfaction at the same time. Agile methodology is one of the solutions provided by software engineers (SE), to get the customers involved in the system development life cycle (SDLC) to avoid the risk nonconformance cost. Yet SPM’s still facing the nonconformance costs and the dynamic changes, and the root cause of the issue is not pointed on to find a solution for it. This undertaking research aimed at determining whether software developers understand scrum rules. In addition, how does this knowledge gab affect the software projects success from the project management perspective. Furthermore, the engagement studied the impact of lack of enough knowledge on the topic to project delivery. The collected data from the qualitative and quantitative methods, which was conducted with scrum teams who worked in the <span>health information system</span> (HIS), Educational solutions, and Governmental solutions has showed deviations in organizational practices and team conflicting, competition, and pressure as well as declined product quality.

Code summarization is a task that is often employed by software developers for fixing code or reusing code. Software documentation is essential when it comes to software maintenance. The highest cost in software development goes to maintenance because of the difficulty of code modification. To help in reducing the cost and time spent on software development and maintenance, we introduce an automated comment summarization and commenting technique using state-of-the-art techniques in summarization. We use deep neural networks, specifically bidirectional long short-term memory (Bi-LSTM), combined with an attention model to enhance performance. In this study, we propose two different scenarios: one that uses the code text and the structure of the code represented in an abstract syntax tree (AST) and another that uses only code text. We propose two encoder-based models for the first scenario that encodes the code text and the AST independently. Previous works have used different techniques in deep neural networks to generate comments. This study’s proposed methodologies scored higher than previous works based on the gated recurrent unit encoder. We conducted our experiment on a dataset of 2.1 million pairs of Java methods and comments. Additionally, we showed that the code structure is beneficial for methods’ signatures featuring unclear words.

Software engineering is a discipline that is little understood by people. It defines how software is developed and maintained to meet the clients’ requirements. Software engineers follow certain systems and standards in their work to meet the clients’ desires. It is on this background that engineers follow specific models in coming up with the final product. One of the models highly used is scrum, which is one of the agile methodologies. However, despite being highly used, it has inherent flaws that need to be corrected. Those flaws are product owner continues changing; do not accept changes in working scrum, sprint’s release time limitation, finally wasting team time within each sprint. This paper presents a new framework, which is an updated version of the current Scrum, to overcome the scum models mentioned issues. In this study, a new framework is presented in a way that is understandable and needed by software developer’s team upon the collected qualitative and quantitative data. The implementation was by making some changes to the current scrum model leading to the “Scrumbear”, certain flaws can be corrected. One of the presented changes involve adding the control master rule to ensure controlling the requirements changing.

Background: Attention deficit hyperactivity disorder is one of the most common neurodevelopmental disorders in pediatric age. It is mostly diagnosed in childhood. Pediatrics with ADHD may have issue with attention, controlling impulsive behaviors and act without thinking about or be overly active. Methods: A cross sectional study including a questionnaire to measure the public information about ADHD in Hail region, Kingdom of Saudi Arabia. The questionnaire has been collected from DSM-IV criteria of attention deficit hyperactivity disorder (ADHD). Results: The participants were more than 400 persons from the public in Hail region, we found result of the test have been used in this study and showed that there is statistically significant association between source of knowledge about disease ADHD and participants. Conclusion: There were a lot of positive points regarding the results of the study, but still there were a negative point, need an intervention and take an action.