Model design for grammatical error identification in software requirements specification using statistics and rule-based techniques

Abstract

The statement of functional requirements statement that refers to software requirements specifications (SRS) is a reference for stakeholders in making software. The SRS document uses a different English grammar due to limited knowledge by the software development team, making it difficult for the development team to read and understand the specification documents for software requirements properly. To overcome this grammatical error, a method is needed to resolve grammatical errors. The method used to identify grammatical errors is based on a trigram language model. In the last research, trigram language models showed quite good performance in identifying grammatical errors based on probabilistic n-gram language models. To improve the performance of the n-gram language model this study also utilizes a corpus namely Penn Tree Bank Corpus. Provide recommendations, this study uses rules-based techniques. A number of rules are made to provide recommendations for inappropriate grammar. So that the software requirements specification compiler can check for grammatical errors and improve the quality of the software requirements specification document.

Likert-Rating Consensus for SRS Documentation

“…In such a scenario, it is of paramount importance for the internal teams to understand the market expectations and how the customers are keen on various insights in the system [3]. And there is a need for understanding the client's business operations or business process flow effectively to execute the project requirements collection in effective ways [4].…”

“…The conceptual framework proposed in this manuscript is a statistical analysis model, which can be resourceful for the organizations in developing a reconfirmation to the techniques adopted in the SRS framework patterns. Many of the existing frameworks or the techniques discussed in the studies refer to a potential documentation process; the proposed model is profoundly about accepting various stakeholders integral to the model [4]. The Conceptual framework for the model focuses on the archetypes that can have more stakeholder engagement and apply the model with the statistical approach of "Likert Scale," which can help improve the overall sustainable ways of requirement collection.…”

“…Named after a social scientist Rensis Likert, the psychometric model is more often used to ask the respondents about opinions or feelings in the survey research, having certain options in the range for a question. Respondents can provide a negative, positive, or neutral response for a statement, reflecting the respondents' possible likelihood, importance, or agreement [4], [16].…”

“…Over the period, the IEEE standards are incorporated into the SRS definition, which forms the crux for project management. Getting SRS right before the project development execution is profoundly important to mitigate the risks of failure and reduce the challenges of scope deviation impacting the projects [3], [4].…”

Software Requirement Specification for Learning Man-agement System Design

“…SRS defines all the requirements that must be met for the system to function properly. These criteria often depict characteristics of underdevelopment systems [16].…”