Model-based Requirements Analysis and Validation
Adequate requirements validation could prevent errors
from propagating into later development phase, and eventually
improve the quality of software systems. However, often
validating textual requirements is difficult and error-prone.
In this project, we propose an approach to feedback-based
requirements analysis/validation, which facilitates a means
for requirements engineers to interact with a requirements
model and analyze/validate its behavior through a set of queries.
Our approach is based on the notion of having a question/answer
session with a requirements model in order to determine whether
the model's behavior satisfies the given requirements.
In this approach, given a model built by engineers, the model
is queried with scenario questions that are derived from requirements.
The answer to a given question is immediately generated by traversing
a behavioral model using a scenario question. This immediate feedback
mechanism allows engineers to address potential problems with a
requirements model and to formulate unconsidered scenario questions
dynamically in response to feedback. Getting an answer to a given
requirement helps determine whether that requirement is satisfied or not.
To support our approach, we implemented a Scenario Question
Query Engine (SQ2E), which uses scenario questions to query a model,
and investigated feasibility of our approach through a preliminary
case study using a real-world application. We plan to perform
more case studies using various types of applications.
Graduate Researcher: Kaushik Madala
Collaborator: Daniel Aceituna