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Software requirement engineering (SRE) is the initial stage of the software engineering process and entails several challenges relating to the identification, implementation, evolution, and management of requirements for the development of software systems that meet the desired functionality quality standards. Agile software development (ASD) is a well‐known software development process that follows a lightweight and adaptive methodology to support the incremental development of software systems. Since the ASD follows an adaptive procedure (ie, a flexible, nanostructured, and dynamic approach) of software development, it becomes challenging to perform SRE that follows a structured approach for managing software requirements throughout the life cycle of software development. The primary challenges for SRE, while pursuing an ASD, include, but are not limited to, identification of incomplete requirements, implementation of vague requirements, prioritization of secondary functional requirements, and compromise on users' involvement that negatively impacts the software system's functionality and quality. To overcome these challenges, some of the recent research efforts have focused on managing different phases of SRE during software development using the ASD. However, there is a lack of solutions that provide software engineers/practitioners with a solution. Besides, frameworks to effectively manage all the phases of SRE as per the needs of the ASD are needed. We propose a framework that unifies joint requirements document (JRD) and SCRUM to incrementally (a) identify, (b) implement, (c) evolve, and (d) manage system requirements throughout the software development cycle. We have used the action research method to qualitatively validate the proposed framework based on data and user requirements collected from a product‐focused (multinational) Norway‐based software company. The results of the validation are based on statistical analysis that reflects the usefulness of the proposed framework for SRE in ASD‐based software engineering and development. Future research is the possible application of a machine learning approach (es) in the intended context for agile requirements elicitations. [ABSTRACT FROM AUTHOR]

Many smaller companies cannot afford the time and effort to change their development processes all at once. In some cases, companies are not aware of the fact that many aspects of agile development are already in place. The aim of this work was to evaluate if an evolutionary transition to agile software development is suitable for small companies. We conducted a case study with a small company to start their step‐by‐step agile transition. Initially, three agile software development practices were introduced. Based on the assessment of improvements, the transition continued with three Kanban practices. Experiences with the improvement process and the selected practices were elicited by means of qualitative interviews for data collection. Our case study reports details on the implementation of the first practices as well as the way the resulting agile transition has taken so far. The positive experiences reported by all employees during the agile transition indicate that an evolutionary transition is suitable for small companies. The experiences concerning the transition process and the positive effects of the selected practices motivate practitioners to start their own agile transition. [ABSTRACT FROM AUTHOR]