Computer Science Research Topics

This study focused on utilisation of data mining approach for acquiring an understanding of issue of employee absenteeism in software organisations. It aimed to focus on various aspects of job satisfaction and pressure that employees experience while working in these firms.  This emphasis put upon these two variables will help assess absenteeism rate in software firms. Furthermore, utilisation of data mining approach is aimed in this research which provides an opportunity for predicting the rate that software employees get absent.

Data mining techniques is long been being used in prediction of diseases specifically related to vital organs such as a heart. However, there are various risks associated with these predictions which this study aims to address. The study focuses on illuminating various consequential dangers associated with predicting rates of heart diseases among people. In addition to this, the study will be providing elaborate details of factors which associates with wrongful predictions.  Adverse outcomes of these predictions on quality of life along with health of people will also be discussed in this study.

This study aims to describe approaches through which student learning over distance would transform into a useful educational medium through incorporation of advanced technology of Artificial Intelligence (AI). This discussed research intends to highlight various ways in which advances on AI would improve distance learning including collaborative mimetic interfaces, thorough direct manipulation capabilities along with specialized software for different types of interaction. This study would focus on conducts in which AI helps develop distant and diverse teaching and learning process infused with the discussed methods.

Various utilisations of AI have started affecting the quality of legal system due to their impact on practices of lawyers which this study purposes to explain. The research intends to highlight effects of AI on various legal tasks such as prediction of court outcomes which historically required expert human judgements. This study aims to put a focus on factors such as increased legal transparency, increasingly efficient dispute resolutions and improved access to justice as a source of improvement of current legal system which exists in the UK.

This research shed light on the topic of quality of teamwork in the context of agile software development. This study aims to identify various factors that contribute to quality of work that agile teams provide and dependencies of these factors on one another in global settings. The study intends to identify various challenges that occur in a heterogeneous environment in relevance to factors teamwork of agile software developing teams. It’s another purpose is investigating use of better communication, improved productivity and quality of software developed in global settings.

This study examined ways of provision of specialised medical information regarding surgical procedure interactively for delivery of effective support to the medical students. The paper highlights risks associated with the implementation of new methods including training of medical students through the use of serious games and virtual simulations which show instructively in detail, the necessary actions which are to be taken in the medical procedure of surgery. This study further highlights the limitations associated with the use of these methods and the adverse effects of its utilisation in a student’s professional practice.

This study is intended to study the key performance influencers of Scrum on team members performance in an agile software development setup. The research intends to study the various defects, deliverables and efforts as performance indicators or the team’s members practising scrum on global software development. This study intends to highlight the elaborate implications of the use of Scrum on individual performance indicators while identifying nature of these effects as positive or adverse. However, this study will focus solely on the global setting of software development.

Covid-19 which is declared a pandemic has caused widespread shutdown as along with chaos. It has left people to feel disoriented and fearful of leaving their homes for purposes such as learning.  This study focuses on presenting ways of implementation of cloud-based learning as a norm for mitigating the hindrance caused in the learning process due to Covid-19. Its purpose is to focus on implementation of an advanced method of cloud computing in place of traditional learning techniques for reducing risks to people. The study will also be focusing on the various contributions of cloud computing to learning process across various sectors.

Within the scope of this study, practice is of development of an understanding of methods contrary to customary, habitual or expected methods of doing agile practices such as pair programming in global software development settings. It regards the use of an agile practice as a central component such as pair programming originating from an agile method for instance extreme programming. Additionally, it highlights their use in an original or adopted form in global software development processes. This as per this study’s aim is a method of understanding global software development in a new light of pair programming.

In this study, problematic behaviours will be modelled using machine learning along with artificial neural network (ANN) and use of machine learning technology of support vector machine (SVM). The study through the use of these two technologies aims to provide an estimation of disorders of behaviours among children in their teenage using K-Folds cross-validation technique. Due to significance of various psychological and physiological variables involved in the modelling of causes of behavioural issues of teenagers, this study intends to predict on basis of extensive influential variables.