One well-known method of artificial intelligence for removing problematic aspects from unprocessed plain text data is natural language processing (NLP). It can be used to process the initial software requirements in order to accomplish objectives such as functional and non-functional requirement classification and prioritizing. To the best of our knowledge, there hasn’t yet been any research done to look into and compile how NLP is used in the field of Software Requirements Engineering (SRE). Thus, we explored the role of NLP in the context of SRE in this study. A Systematic Literature Review (SLR) was conducted on 41 papers that were published between 2002 and 2023. As a result, 17 current tools and 6 NLP techniques were recognized. In addition, the researchers recommended two algorithms and 11 tools. It has been determined that NLP methods and resources greatly aid in quickening the SRE procedure. Nonetheless, before implementing the intended NLP techniques, some manual tasks are still necessary for the basic plain text program.

During the past decade, most global firms have adopted the global software engineering approach for outsourcing their software development projects to reduce their cost and time-to-market, enhance their access to the competitive market, and advance their technical skills and resources. This paradigm shift from conventional geographically-bound development to a globalized software industry has happened due to an abrupt improvement in information and communication technologies. One of the successful paradigms of global software engineering is offshore software development, which has turned into an extremely beneficial industry for many of its stakeholders. However, this industry is posed with many impeding factors that impede the successful completion of numerous outsourcing projects. In this study, we have detected several significant impeding factors faced by the outsourcing industry. We employed a Systematic Literature Review (SLR) methodology and utilized constructed search criteria originated from our anticipated research questions, followed by choosing the particular research articles, inclusion and exclusion criteria, data extraction, and data synthesis, which resulted in 16 impeding factors from 118 final selected papers that were published between 2010 and 2024. Among these, eight impeding factors were identified as Critical Impeding Factors (CIFs). Furthermore, the investigated impeding factors have been analyzed by considering different scenarios, such as region-wise, research strategy based, and organization size. Our results can play a vital role for the outsourcing industry in improving its procedures to enhance their communication strategies, contract negotiation and management processes, cultural and language issues, and project monitoring.