Electricity theft comes with various disadvantages for power utilities, governments, businesses, and the general public. This continues despite the various solutions employed to detect and prevent it. Some of the disadvantages of electricity theft include revenue loss and load shedding, leading to a disruption in business operations. This study aimed to conduct a systematic literature review to identify what technology solutions have been offered to solve electricity theft and the effectiveness of those solutions by considering peer-reviewed empirical studies. The systematic literature review was undertaken following the guidelines for conducting a literature review in computer science to assess potential bias. A total of 11 journal articles published from 2012 to 2022 in SCOPUS, Science Direct, and Web of Science were analysed to reveal solutions, the type of theft addressed, and the success and limitations of the solutions. The findings show that the focus in research is channelled towards solving electricity theft in Smart Grids (SGs) and Advanced Metering Infrastructure (AMI); moreover, there is a neglect in the recent literature on finding solutions that can prevent electricity theft in countries that do not have SG and AMI installed. Although the results reported in this study are confined to the analysed research papers, the leading limitation in the selected studies, lack of real-life data for dishonest users. This study’s contribution is to show what technology solutions are prevalent in solving electricity theft in recent years and the effectiveness of such solutions.

The need for software practitioners to assume their ethical responsibility is key to resolving moral dilemmas experienced by those affected by the negative outcomes of software development. However, for researchers to investigate the ways and means for software engineers to assume such responsibility, a constant understanding of the current state of affairs about this subject is necessary. This study was undertaken to survey literature authored from 1990 to 2022 to provide an overview of what is considered ethical responsibility owed by software practitioners. Out of the 14 selected articles for analysis, it was found that the majority are journal papers in the form of philosophical studies, whilst validation and experience papers were not found. The study mapped the identified stakeholders to ethical responsibilities owed to them by software practitioners. The results show that the Client/User is the group that software practitioners are mostly responsible to. The small number for papers (14) identified for this study suggests fewer researchers are investigating this area. We recommend empirical studies that suggest, validate, and evaluate solutions that facilitate the assumption of ethical responsibility to improve software development practices.