  In the current scenario, many organizations invest on open-source systems
which are becoming popular and result in rapid growth, where in many of them
have not met the quality standards which resulted in need for assessing
quality. Initially we represent our work by analyzing the two open source case
studies which are (1) Distributed Modular Audio Recognition Framework (DMARF)
is an open-source framework which consists of Natural Language Processing (NLP)
implemented using Java which facilitates extensibility by adding new
algorithms, (2) General Intensional Programming System (GIPSY) is a platform
designed to support intensional programming languages which are built using
intensional logic and their imperative counter-parts for the intensional
execution model. During this background study we identified few metrics which
are used to assess the quality characteristics of a software product defined by
ISO standards. Among the metrics, we identified the number of the java classes
and methods using SonarQube. Followed by that, the actors and stakeholders have
been categorized and focused on the evolution of fully dressed use cases.
Besides, we analyzed the requirements and compiled the conceptual UML domain
model diagrams with the responsibilities and relationships based on the
functionalities, which leads to the creation of the class diagrams. Later the
analysis and interpretation of results has been done using the metric tools to
verify results which have been implemented and to identify the code smells
accordingly. Finally the implication is towards performing the system level
refactoring by applying appropriate refactoring methods to enhance the quality
and performance of the open source systems. Besides, the respective test cases
have been portrayed to ensure that there is not much behavioral change with the
existing architecture.
