Langage contrôlé pour la spécification des règles métier dans le contexte de la modélisation des systèmes d'information

Our thesis focuses on controlled natural languages (CNL) for software engineering. It aims at facilitating the adoption of the business rule approach (BRA) by companies by creating a CNL in order to help business experts in the specification of their business rules. Our solution will allow reducing the semantic gap between business experts and system experts to meet not only the need for mutual understanding between them but also to achieve an automatic transfer of the description of business rules to information systems (IS). The CNL that we have created will also ensure the consistency and the traceability of these rules together with their implementationNotre thèse s’inscrit dans le cadre des langages contrôlés pour le génie logiciel. Elle a pour but de faciliter l’adoption de l’approche par règles métier (ARM) par les entreprises en créant un langage contrôlé en vue d’aider à la spécification des règles métier par les experts métier. Notre solution va permettre de réduire la distance sémantique entre les experts métier et les experts système afin de répondre non seulement au besoin d’intercompréhension entre ces derniers mais aussi pour réaliser un transfert automatique de la description des règles métier vers les systèmes d’information (SI). Ce langage contrôlé que nous avons créé permettra d’assurer en plus la consistance et la traçabilité de ces règles avec leur implantatio

RuleCNL: A Controlled Natural Language for Business Rule Specifications

Business rules represent the primary means by which companies define their business, perform their actions in order to reach their objectives. Thus, they need to be expressed unambiguously to avoid inconsistencies between business stakeholders and formally in order to be machine-processed. A promising solution is the use of a controlled natural language (CNL) which is a good mediator between natural and formal languages. This paper presents RuleCNL, which is a CNL for defining business rules. Its core feature is the alignment of the business rule definition with the business vocabulary which ensures traceability and consistency with the business domain. The RuleCNL tool provides editors that assist end-users in the writing process and automatic mappings into the Semantics of Business Vocabulary and Business Rules (SBVR) standard. SBVR is grounded in first order logic and includes constructs called semantic formulations that structure the meaning of rules.Comment: 12 pages, 7 figures, Fourth Workshop on Controlled Natural Language (CNL 2014) Proceeding

Controlled natural language for business rules specification inthe context of information systems modelling

Notre thèse s’inscrit dans le cadre des langages contrôlés pour le génie logiciel. Elle a pour but de faciliter l’adoption de l’approche par règles métier (ARM) par les entreprises en créant un langage contrôlé en vue d’aider à la spécification des règles métier par les experts métier. Notre solution va permettre de réduire la distance sémantique entre les experts métier et les experts système afin de répondre non seulement au besoin d’intercompréhension entre ces derniers mais aussi pour réaliser un transfert automatique de la description des règles métier vers les systèmes d’information (SI). Ce langage contrôlé que nous avons créé permettra d’assurer en plus la consistance et la traçabilité de ces règles avec leur implantationOur thesis focuses on controlled natural languages (CNL) for software engineering. It aims at facilitating the adoption of the business rule approach (BRA) by companies by creating a CNL in order to help business experts in the specification of their business rules. Our solution will allow reducing the semantic gap between business experts and system experts to meet not only the need for mutual understanding between them but also to achieve an automatic transfer of the description of business rules to information systems (IS). The CNL that we have created will also ensure the consistency and the traceability of these rules together with their implementatio