Emergent Solutions on Requirement Engineering for Agile Software Development: A tertiary study (Auxiliary Documentation in PDF)

[Context and motivation] Agile Software Development (ASD) is a new trend in software development and has become popular. Its advocates claim that ASD is well suited to solving traditional software development problems by valuing human factors over technical ones. However, one of the most critical phases in software development, Requirements Engineering (RE), can be overwhelming for ASD values.
[Question/problem] Trying to work with RE in a traditional way for ASD can limit ASD's potential. Therefore, it is necessary to investigate what academia and industry have done in RE to exploit all of the capabilities of ASD beyond traditional RE. 
[Principal ideas/results] This work presents an overview of the state-of-the-art Requirement Engineering (RE) for Agile Software Development (ASD). We conducted a Tertiary Study in secondary studies published from 1st January 2015 to 30th June 2021, looking for solutions for RE-ASD using the Systematic Literature Review (SLR) protocol described by Kitchenham and Charters (2007). After executing the SLR protocol, we accepted 37 out of 169 studies and encountered 136 solutions used by academia and industry for RE-ASD. We considered only a few solutions that could be classified as emergent for RE-ASD, 24 out of 106. Furthermore, we cataloged the challenges presented by the emergent solutions (e.g., a steep learning curve due to the lack of experience, process, or culture) that should be addressed. Finally, we identified a possible gap between academia and industry regarding these emerging solutions that need further investigation. 
[Contribution] By highlighting emerging Requirements Engineering (RE) solutions for Agile Software Development (ASD), we made our contribution to help researchers who need to propose new solutions to some of the problems that remain unsolved by pointing out the recent trends for RE for ASD.

The repository contains the following:

Auxiliary Documentation in PDF;

Dataset from the Tertiary Study - compressed file (refsq2023Complement.zip):

REFSQ2023-ALL-ARTICLES.csv: is a comma-separated file with all 198 (including the duplicates) found in our search in the digital libraries with their respective status (accepted, rejected, or duplicated).

REFSQ2023-DISTINCT-SOLUTIONS.csv: is a comma-separated file with all the distinct solutions we found in our research. They are classified according to our classification method, explained in the article.

REFSQ2023-GOOGLE-TRENDS-RESULTS.csv: is a comma-separated file with all results of our query in the Google Trends tool. It also brings the used search terms and the code and classification of each solution.