  Context: Technical Debt requirements are related to the distance between the
ideal value of the specification and the system's actual implementation, which
are consequences of strategic decisions for immediate gains, or unintended
changes in context. To ensure the evolution of the software, it is necessary to
keep it managed. Identification and measurement are the first two stages of the
management process; however, they are little explored in academic research in
requirements engineering. Objective: We aimed at investigating which evidence
helps to strengthen the process of TD requirements management, including
identification and measurement. Method: We conducted a Systematic Literature
Review through manual and automatic searches considering 7499 studies from 2010
to 2020, and including 61 primary studies. Results: We identified some causes
related to Technical Debt requirements, existing strategies to help in the
identification and measurement, and metrics to support the measurement stage.
Conclusion: Studies on TD requirements are still preliminary, especially on
management tools. Yet, not enough attention is given to interpersonal issues,
which are difficulties encountered when performing such activities, and
therefore also require research. Finally, the provision of metrics to help
measure TD is part of this work's contribution, providing insights into the
application in the requirements context.
