Automatic Transformation of Natural to Unified Modeling Language: A Systematic Review

Context: Processing Software Requirement Specifications (SRS) manually takes a much longer time for requirement analysts in software engineering. Researchers have been working on making an automatic approach to ease this task. Most of the existing approaches require some intervention from an analyst or are challenging to use. Some automatic and semi-automatic approaches were developed based on heuristic rules or machine learning algorithms. However, there are various constraints to the existing approaches of UML generation, such as restriction on ambiguity, length or structure, anaphora, incompleteness, atomicity of input text, requirements of domain ontology, etc. Objective: This study aims to better understand the effectiveness of existing systems and provide a conceptual framework with further improvement guidelines. Method: We performed a systematic literature review (SLR). We conducted our study selection into two phases and selected 70 papers. We conducted quantitative and qualitative analyses by manually extracting information, cross-checking, and validating our findings. Result: We described the existing approaches and revealed the issues observed in these works. We identified and clustered both the limitations and benefits of selected articles. Conclusion: This research upholds the necessity of a common dataset and evaluation framework to extend the research consistently. It also describes the significance of natural language processing obstacles researchers face. In addition, it creates a path forward for future research

Enhancement of natural language processing approach for automated generation of object constraint language

Object Constraint Language (OCL) is the most prevalent modeling language to document requirement constraints that are annotated in the Unified Modeling Language. Various researchers have proved that OCL syntax is complex and difficult for some reasons such as its declarative nature. As the measure of ease-of-use factor of a language has a direct relationship with the language’s usability, the difficulties in the use of OCL result in the low usability of OCL. There are few research works for OCL generation using some different techniques such as pattern-based and Model-Driven Architecture (MDA)-based. The accuracy of the existing patternbased work generating OCL specification is low. MDA focuses on software development based on generating models and transforming these models between each other. There are some researches based on MDA to increase the usability of modeling languages. However, only one of the existing works supports OCL. The existing MDA-based work generating OCL specification does not support some OCL elements, such as collect and reject, and some UML elements such as enumeration. Therefore, this research proposes an MDA-based approach to transform requirement constraints formed in English sentences into OCL specifications using transformation rules. A software tool is developed to validate the proposed approach and compare with the existing works. The comparison shows that the proposed approach solves some limitations of the existing works such as support of some OCL and UML elements, which are not supported by the existing works. The comparison also shows that some accuracy improvement is achieved by the proposed approach in comparison with the existing works

An affinity analysis based CIM-to-PIM transformation

To tackle the problems such as the imperfection and inconsistency in software requirements in traditional Computation Independent Model (CIM) modelling, the low degree of automation as well as the imperfection in the description of Platform Independent Model (PIM) in CIM-to-PIM transforming, in this article, we propose a Business-Process-based CIM modelling method and a CIM-to-PIM transformation approach. Business Process Model is used to express CIM, and UML‘s Sequence Diagram, State Chart Diagram as well as Class Diagram are used to express PIM. Firstly, the users’ requirements are obtained through business process models. We extract use cases from business processes and create use case specifications. A verification mechanism is also added for the use case specification. Secondly, we transform CIMs into PIMs automatically with use case specifications as the inputs as well as combining with use case based thinking, responsibility based thinking and affinity analysis. Finally, by comparing with the methods in other studies, we conclude that methods proposed in this article can ensure model integrity and increase the degree of model transformation automation

A Framework for Specifying Business Rules Based on Logic with a Syntax Close to Natural Language

The systematic interaction of software developers with the business domain experts that are usually no software developers is crucial to software system maintenance and creation and has surfaced as the big challenge of modern software engineering. Existing frameworks promoting the typical programming languages with artificial syntax are suitable to be processed by computers but do not cater to domain experts, who are used to documents written in natural language as a means of interaction.Other frameworks that claim to be fully automated, such as those using natural language processing, are too imprecise to handle the typical requirements documents written in heterogeneous natural language flavours. In this thesis, a framework is proposed that can support the specification of business rules that is, on the one hand, understandable for nonprogrammers and on the other hand semantically founded, which enables computer processability. This is achieved by the novel language Adaptive Business Process and Rule Integration Language (APRIL). Specifications in APRIL can be written in a style close to natural language and are thus suitable for humans, which was empirically evaluated with a representative group of test persons. A useful and uncommon feature of APRIL is the ability to define reusable abstract mixfix operators as sentence patterns, that can mimic natural language. The semantic underpinning of the mixfix operators is achieved by customizable atomic formulas, allowing to tailor APRIL to specific domains. Atomic formulas are underpinned by a denotational semantics, which is based on Tempura (executable subset of Interval Temporal Logic (ITL)) to describe behaviour and the Object Constraint Language (OCL) to describe invariants and pre- and postconditions. APRIL statements can be used as the basis for automatically generating test code for software systems. An additional aspect of enhancing the quality of specification documents comes with a novel formal method technique (ISEPI) applicable to behavioural business rules semantically based on Propositional Interval Temporal Logic (PITL) and complying with the newly discovered 2-to-1 property. This work discovers how the ISE subset of ISEPI can be used to express complex behavioural business rules in a more concise and understandable way. The evaluation of ISE is done by an example specification taken from the car industry describing system behaviour, using the tools MONA and PITL2MONA. Finally, a methodology is presented that helps to guide a continuous transformation starting from purely natural language business rule specification to the APRIL specification which can then be transformed to test code. The methodologies, language concepts, algorithms, tools and techniques devised in this work are part of the APRIL-framework

Generation of UML class diagram from software requirement specification using natural language processing

Any software development process starts with requirement analysis. The phase from requirement analysis to chalking out a design is acknowledged as the most intricate and troublesome exercises in programming advancement. Failures brought about throughout this action could be very unmanageable to alter in later periods of programming advancement. One primary purpose behind such potential issues is on account of the prerequisite determination being in natural language form. To conquer this, a tool has been designed, which plans can give semi-automatized aid for designers to produce UML class model from software specifications utilizing Natural Language Processing techniques. The proposed technique outlines the class diagram in a standard configuration and additionally records out the relationship between classes

From Natural Language Requirements to Formal Specification Using an Ontology

In order to check requirement specifications written in natural language, we have chosen to model domain knowledge through an ontology and to formally represent user requirements by its population. Our approach of ontology population focuses on instance property identification from texts. We do so using extraction rules automatically acquired from a training corpus and a bootstrapping terminology. These rules aim at identifying instance property mentions represented by triples of terms, using lexical, syntactic and semantic levels of analysis. They are generated from recurrent syntactic paths between terms denoting instances of concepts and properties. We show how focusing on instance property identification allows us to precisely identify concept instances explicitly or implicitly mentioned in texts

Prototipado automático de sistemas de información transaccionales usando una especificación en lenguaje natural restringido

Las actividades del ciclo de vida del desarrollo de software (o SDLC por sus siglas en ingl´es) incluyen: an´alisis de requisitos, dise˜no de modelos, desarrollo, pruebas y mantenimiento. Las tareas tempranas de este ciclo (an´alisis de requisitos y dise˜no) tienen un amplio impacto en el ´exito del proyecto y por esto es fundamental que se lleven a cabo de una forma correcta. Estas actividades por supuesto est´an incluidas en el proceso de desarrollo de sistemas de informaci´on de procesamiento de transacciones. Estos sistemas de informaci´on son una de las maneras de generar valor desde la informaci´on producida en una organizaci´on. Adem´as, dan pie para generar sistemas de informaci´on de mayor complejidad y tambi´en permiten mejorar los procesos de toma de decisiones en las organizaciones. Sin embargo, los errores en las etapas tempranas del desarrollo de software son bastante comunes. Estos errores pueden llevar a dificultades a nivel de presupuesto y calendario en los proyectos de desarrollo de software, inclusive, a fracasos totales. Por esta raz´on, en esta tesis se propone dise˜nar, desarrollar y evaluar una metodolog´ıa para el prototipado autom´atico de sistemas de informaci´on transaccionales desde una especificaci´on en lenguaje natural restringido. Lo cual busca mejorar los procesos de an´alisis de requisitos y dise˜no de modelos puesto que permitir´ıa validar r´apidamente la funcionalidad del software, y as´ı, facilitar la detecci´on de errores y por ende su correcci´on temprana durante el desarrollo del proyecto. Para esto, en esta tesis se propone una metodolog´ıa de prototipado r´apido basada en un lenguaje natural restringido. Para crear este lenguaje natural restringido se usan como insumo dos lenguajes de especificaci´on populares: BPMN (Business Process Modeling Notation) y E-R (Entity - Relationship). Adem´as, para la generaci´on del prototipo funcional, se usar´an t´ecnicas de generaci´on de c´odigo fuente guidas por la sintaxis de este lenguaje. Como resultados de esta tesis, se llevaron a cabo dos implementaciones de la herramienta de generaci´on de c´odigo fuente. Adem´as, se presentan tres casos de estudio que permiten validar la aplicabilidad y efectividad de la metodolog´ıa propuesta: “Question cycle”, “Email Voting” y “Odoo clone”.Abstract. Software development life cycle (or SDLC) activities include: requirements analysis, models design, development, testing and maintenance. The early tasks of this cycle (requirements analysis and design) have a large impact on the success of the project and for this reason it is essential to perform them correctly. These activities are of course included in the process of developing transaction processing information systems. These information systems are one of the ways to generate value from the information produced in an organization. They also provide the basis for generating more complex information systems and also improve the decision-making processes in organizations. However, errors in the early stages of the software development process are quite common. These errors can lead to difficulties in the budget and schedule of software projects, or even, total failures. For this reason, the objective of this thesis is to design, develop and evaluate a methodology for the automatic prototyping of transactional information systems from a restricted natural language specification. This is aimed at improving the processes of analysis of requirements and design of models since it would allow to quickly validate the software functionality, and thus, facilitate the detection of errors and reduce costs by correct them early during the development. With that goal in mind, this thesis proposes a rapid prototyping methodology based on a restricted natural language. To create this restricted natural language, two popular specifi- cation languages are used as input resources: BPMN (Business Process Modeling Notation) and E-R (Entity - Relationship). In addition, source code generation techniques guided by the syntax of this language will be used for the generation of the functional prototype. As results of this thesis, two implementations of the source code generation tool were developed. In addition, three case studies were performed to validate the applicability and effectivity of the proposed methodology: “Question cycle”, “Email Voting”, and “Odoo clone”.Maestrí

An OMG model-based approach for aligning information systems requirements and architectures with business

Tese de Doutoramento (Programa Doutoral em Tecnologias e Sistemas de Informação)The challenges involved in developing information systems (which are able to adapt to rapidly changing business and technological conditions) are directly related to the importance of their alignment with the business counterpart. These challenges comprise issues that cross management and information systems domains, relating and aligning them in order to attain superior performance for the organization, while identifying its strategy and tailoring its business processes. As this relation is increasingly intertwined its concepts are conducted to pragmatic methods, incorporating both management and information systems components, for how, when and where this alignment really matters. The related topics of the alignment between business and information systems comprise diverse paths of research, though with little common ground established inside the community, where problems arouse due to the fast moving business and technological environments. According to these circumstances, the process of developing information systems to support the alignment benefits from incorporating the use of structured and model-based approaches. So, as the development of evermore complex information systems presents a challenge for the currently available methods, the use of models to support the alignment with business stands as an increasingly important issue. Following those challenges, we set out to question how to develop solutions aligning information systems with business in a model-based approach. Accordingly, we support our research on the need to understand what are the perspectives involved in aligning information systems with business, and, moreover, to comprehend in what sense model adoption drives information systems development. So, the proposed goals for this thesis are: (1) set the basis for the elicitation of business requirements in order to support a well-grounded development of information systems; (2) provide for the generation of business models based on the business requirements, while assuring their alignment and traceability; and (3) arrange for the derivation of information system architectures from the business requirements, while attaining alignment and traceability for their mutual transformation and adaptation. Several issues surrounding these goals have already been described and approached in diverse ways by other researchers, where existing approaches and associated methods achieved good results. Nevertheless, these approaches are not without their shortfalls, sometimes failing to present a complete solution, others being unable to adapt to new challenges, or even incapable of reacting to recent trends. In order to tackle these issues we propose to build upon those approaches by adapting, evolving and innovating on solutions in each of the three proposed goals, respectively intertwining with perspectives from related standards and reference models. Answering the first goal, in what regards the main contributions of this thesis, we propose to broaden the elicitation of requirements by relating functional and nonfunctional requirements from business processes. So, we present a unified metamodel representation for those requirements, accompanied by a customizable method for their joint elicitation, based-on business-driven use-cases, goals and rules. This approach adopts the Rational Unified Process (RUP) development methodology and the Business Motivation Model (BMM) standard model language representation for business requirements. Moreover, the metamodel representation and method operationalization are accompanied by a prototype support tool that completes this first contribution. For the second goal, a more business-oriented one correlated to the higher-level requirements, we propose to generate business models directly from the inferred functional and nonfunctional requirements. So, we present a three-dimensional approach built on the relation of the referred requirements with the Balanced Scorecard (BSC) reference model, where an additional mapping to the Business Model Canvas (BMC) is also made available. This proposal provides an associated metamodel representation for the relation between the elements involved and a customizable method for their operationalization, all accompanied by a prototype support tool. On the third goal, focused on system architectures and connected to the lower-level requirements, we propose to derive service-oriented participants from the functional requirements, while aligning the nonfunctional requirements with the quality characteristics of the solution to-be. First, we present an evolution of an existing method for the derivation of a logical architecture, in order to adapt it to a service-oriented approach (SOA). Then, following on the existing relation between the nonfunctional and functional side of the low-level requirements, our approach is able to associate these last with its related services on the derived architecture, in another three-dimensional approach. Additionally, a mapping of the nonfunctional requirements with the system quality characteristics (CISQ) is made available. Once more, an associated metamodel, a customizable method and a prototype support tool are also provided. The development of these three approaches is supported through the execution of tasks which originate artifacts and lead to publications associated to their respective research and development efforts, all according to the Design Science Research (DSR) methodology. These are applied in ongoing projects involving experimental scenarios in industrial settings and associated to established research reference patterns, balancing the interests of both researchers and practitioners while focused both on technology and management audiences. The results obtained from their evaluation reflect the quality and depth of our findings, helping to validate the scientific contribution of this work.Os desafios implicados no desenvolvimento de sistemas de informação (que sejam capazes de se adaptar a condições tecnológicas e de negócios em rápida mutação) estão diretamente relacionados à importância do seu alinhamento com a contraparte do negócio. Esses desafios envolvem questões que cruzam os domínios da gestão e dos sistemas de informação, relacionando-os e alinhando-os com o intuito de alcançar um desempenho superior para a organização, ao mesmo tempo que identificam a sua estratégia e adequam os seus processos de negócio. Como esta relação está cada vez mais interligada, os seus conceitos são canalizados para métodos pragmáticos, incorporando ambos os componentes de sistemas de informação e de gestão, para saber como, quando e onde este alinhamento realmente interessa. Os tópicos relacionados com o alinhamento entre negócio e sistemas de informação abrangem diversos caminhos de pesquisa, embora com poucos alicerces em comum estabelecidos dentro da comunidade, onde os problemas surgem devido às rápidas mudanças nos negócios e nos ambientes tecnológicos. De acordo com estas circunstâncias, o processo de desenvolvimento de sistemas de informação para apoiar o alinhamento beneficia de incorporar o uso de abordagens estruturadas e baseadas em modelos. Assim, dado que o desenvolvimento de sistemas de informação cada vez mais complexos apresenta um desafio para os métodos atualmente disponíveis, o uso de modelos para apoiar o alinhamento com o negócio destaca-se como uma questão cada vez mais importante. Em linha com esses desafios, estabelecemos a questão de como desenvolver soluções para alinhar sistemas de informações com o negócio numa abordagem baseada em modelos. Neste sentido, apoiamos a nossa pesquisa na necessidade de compreender quais são as perspetivas envolvidas no alinhamento dos sistemas de informação com o negócio, e, além disso, de compreender em que sentido a adoção de modelos capacita o desenvolvimento desses sistemas. Assim, os objetivos propostos para esta tese são: (1) definir as bases para o levantamento de requisitos de negócio a fim de suportar um desenvolvimento bem fundamentado de sistemas de informação; (2) disponibilizar a geração de modelos de negócio baseados nos requisitos de negócio, garantindo o alinhamento e a rastreabilidade entre ambos; e (3) estruturar a derivação de arquiteturas de sistema de informação a partir dos requisitos de negócio, preservando o alinhamento e rastreabilidade para a sua mútua transformação e adaptação. Várias questões envolvendo estes objetivos foram já descritas e tratadas de diversas maneiras por outros investigadores, tendo as abordagens existentes e os métodos associados alcançado bons resultados. No entanto, essas abordagens têm as suas lacunas, umas vezes falham em apresentar uma solução completa, noutras são ineficientes ao se adaptarem a novos desafios, ou mesmo incapazes de reagir às novas tendências. Para lidar com estas questões, propomo-nos apoiar nessas abordagens, adaptando, evoluindo e inovando em soluções para cada um dos três objetivos propostos, intersetando-as, respetivamente, com perspetivas de modelos de referência e padrões relacionados. Relativamente ao primeiro objetivo, no que concerne aos principais contributos desta tese, propomos alargar o levantamento de requisitos, relacionando os requisitos funcionais e nãofuncionais dos processos de negócios. Assim, apresentamos um meta-modelo para a representação unificada desses requisitos, acompanhado por um método personalizável para o seu levantamento conjunto, baseada em casos-de-uso, metas e regras orientadas a negócio. Esta abordagem adota a metodologia de desenvolvimento do Rational Unified Process (RUP) e a representação padrão do modelo de linguagem do Business Motivation Model (BMM), para os requisitos de negócio. Além disso, a representação meta-modelo e a operacionalização do método são acompanhados por um protótipo de uma ferramenta de suporte que completa esta primeira contribuição. Quanto ao segundo objetivo, mais orientado ao negócio e correlacionado com os requisitos de nível superior, propomos gerar modelos de negócio a partir dos requisitos funcionais e não-funcionais inferidos. Assim, apresentamos uma abordagem tridimensional, construída sobre a relação dos referidos requisitos com o modelo de referência do Balanced Scorecard (BSC), em que um mapeamento adicional para o Business Model Canvas (BMC) é também disponibilizado. Esta proposta inclui um meta-modelo para representação da relação entre os elementos envolvidos e um método personalizável para a sua operacionalização, tudo acompanhado por um protótipo de uma ferramenta de suporte. No terceiro objetivo, focado em arquiteturas de sistema e ligado aos requisitos de nível inferior, propomos derivar participantes orientados-a-serviços desde os requisitos funcionais, alinhando os requisitos não-funcionais com as características de qualidade da solução a obter. Primeiro, apresentamos uma evolução de um método existente para a derivação de uma arquitetura lógica, adaptando-o a uma abordagem-orientada-a-serviços (SOA). Assim, prosseguindo a relação existente entre o lado não-funcional e funcional dos requisitos de baixo nível, a nossa abordagem associa estes últimos com os serviços relacionados na arquitetura derivada, numa outra abordagem tridimensional. Além disso, um mapeamento dos requisitos não-funcionais com as características de qualidade do sistema (CISQ) é disponibilizado. Mais uma vez, um meta-modelo associado, um método personalizável e um protótipo da ferramenta de suporte são disponibilizados. O desenvolvimento destas três abordagens é suportado pela execução de tarefas, as quais dão origem a artefatos e levam a publicações associadas aos seus esforços de pesquisa e desenvolvimento respetivamente, tudo de acordo com a metodologia DSR. Estas são aplicadas a projetos em andamento, os quais envolvem cenários experimentais em ambientes industriais e associados a padrões de investigação de referência, equilibrando os interesses de investigadores e profissionais assim como dos diferentes públicos de tecnologia e gestão. Os resultados obtidos na sua avaliação refletem a qualidade e a profundidade dos nossos resultados, ajudando a validar a contribuição científica deste trabalho

Enterprise modelling framework for dynamic and complex business environment: socio-technical systems perspective

The modern business environment is characterised by dynamism and ambiguity. The causes include global economic change, rapid change requirements, shortened development life cycles and the increasing complexity of information technology and information systems (IT/IS). However, enterprises have been seen as socio-technical systems. The dynamic complex business environment cannot be understood without intensive modelling and simulation. Nevertheless, there is no single description of reality, which has been seen as relative to its context and point of view. Human perception is considered an important determinant for the subjectivist view of reality. Many scholars working in the socio-technical systems and enterprise modelling domains have conceived the holistic sociotechnical systems analysis and design possible using a limited number of procedural and modelling approaches. For instance, the ETHICS and Human-centred design approaches of socio-technical analysis and design, goal-oriented and process-oriented modelling of enterprise modelling perspectives, and the Zachman and DoDAF enterprise architecture frameworks all have limitations that can be improved upon, which have been significantly explained in this thesis. [Continues.