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REQ-QA: Automatic identification of possible deficiencies in the introduction of requirements

Introduction

This project was created as a part of the end degree project Automatic identification of possible deficiencies in the introduction of requirements
in collaboration with Facultat d'Informàtica de Barcelona.

The service analyze the requirements in natural language and return a deficiencies found.

The service has the aim to allow the extensibility as one of the pillars in order to add more functionality.

Used OpenReq component:


Technical description

REQ-QA is based on Java Spring Boot and use Maven.

How to extend with external service

Create a maven module and implements IRequirementExternalService interface extending to RequirementExternalService.

The core engine will call all the services that implements the interface and aggregates the results.

Previous requisites

Build the project

mvn clean install -DSkipTest

Create a Docker image

docker build -t reqqa .

Run the docker image

docker run -p 8089:8089 -e "JAVA_OPTS=-Dopenreq.baseUrl=http://host.docker.internal:9799" reqqa

How to use

There are a core API to use (/analyze), see swagger documentation

There is a form web page to use as well.

Taiga integration

In order to operate with Taiga, there are a previous configuration that has to be done:

Run the docker image with Taiga integration

When run the docker image, send the configured parameters as:

  • taiga.baseUrl: the url of Taiga server
  • taiga.secret: secret key configured in Taiga for the webhook
  • taiga.customFieldName: custom field name, by default "quality"
  • taiga.username: username in Taiga used to modify the issues
  • taiga.password: password for the user in Taiga
docker run -p 8089:8089 -e "JAVA_OPTS=-Dopenreq.baseUrl=http://host.docker.internal:9799 -Dtaiga.baseUrl=http://host.docker.internal:9000 -Dtaiga.customFieldName=mycustomfield -Dtaiga.username=username -Dtaiga.password=password" reqqa

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Automatic Requirement Analysis tool using quality attributes as Ambiguity

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