<p>The global population is going through a significant demographic shift and the percentage of individuals aged 65 and over is projected to increase globally. This demographic transition brings forth challenges associated with aging, including an increased prevalence of non-communicable diseases and disabilities. Falls are a particularly common and serious concern for the elderly, highlighting the growing need for comprehensive care and support systems. Such systems should encompass primary, acute, and end-of-life care, as well as assistance with activities of daily living (ADL). There is a growing need for comprehensive care and support systems encompassing primary, acute, and end-of-life care, along with assistance in daily activities. Abnormal Behaviour in Activities of Daily Living (AB-ADL) among elderly individuals present significant health risks and challenges. Nevertheless, minimal published literature is available on a generic context-aware architecture focused mainly for detection of different AB-ADLs in smart-home environment that computer scientists or software developers can utilise and adapt to a particular use case scenario, as most existing context-aware architectures are scenario-specific. To address this gap, a systematic review is conducted in this paper to illustrate the key components of context-aware systems through an architectural representation. Also, this paper aims to explain how systems are designed to effectively detect various types of AB-ADLs among elderly individuals in smart-home environments, using appropriate technologies and methodologies, as well as how these systems are evaluated for performance and effectiveness. For this, 43 recently published papers were systematically reviewed and analysed. Following the review, a generic architecture for context-aware system for performing Abnormal Behaviour Detection in Activities of Daily Living (ABD-ADL) of the elderly in smart-home environment was realised, and it was found that there is no agreed consensus on the tools and technologies used in the build-up of such systems. Similarly, various approaches are used to evaluate such systems and the most common one is through case studies. A lack of frameworks that guide the evaluation process was noted. This paper presents key research concerns and potential for future study based on the data reported.</p>