Semantic Bridging between Conceptual Modeling Standards and Agile Software Projects Conceptualizations

Software engineering benefitted from modeling standards (e.g. UML, BPMN), but Agile Software Project Management tends to marginalize most forms of documentation including diagrammatic modeling, focusing instead on the tracking of a project\u27s backlog and related issues. Limited means are available for annotating Jira items with diagrams, however not on a granular and semantically traceable level. Business processes tend to get lost on the way between process analysis (if any) and backlog items; UML design decisions are often disconnected from the issue tracking environment. This paper proposes domain-specific conceptual modeling to obtain a diagrammatic view on a Jira project, motivated by past conceptualizations of the agile paradigm while also offering basic interoperability with Jira to switch between environments and views. The underlying conceptualization extends conceptual modeling languages (BPMN, UML) with an agile project management perspective to enrich contextual traceability of a project\u27s elements while ensuring that data structures handled by Jira can be captured and exposed to Jira if needed. Therefore, concepts underlying the typical software development project management are integrated with established modeling concepts and tailored (with metamodeling means) for the domain-specificity of agile project management. A Design Science approach was pursued to develop a modeling method artifact, resulting in a domain-specific modeling tool for software project managers that want to augment agile practices and enrich issue annotation

Semantic data integration for supply chain management: with a specific focus on applications in the semiconductor industry

Supply Chain Management (SCM) is essential to monitor, control, and enhance the performance of SCs. Increasing globalization and diversity of Supply Chains (SC)s lead to complex SC structures, limited visibility among SC partners, and challenging collaboration caused by dispersed data silos. Digitalization is responsible for driving and transforming SCs of fundamental sectors such as the semiconductor industry. This is further accelerated due to the inevitable role that semiconductor products play in electronics, IoT, and security systems. Semiconductor SCM is unique as the SC operations exhibit special features, e.g., long production lead times and short product life. Hence, systematic SCM is required to establish information exchange, overcome inefficiency resulting from incompatibility, and adapt to industry-specific challenges. The Semantic Web is designed for linking data and establishing information exchange. Semantic models provide high-level descriptions of the domain that enable interoperability. Semantic data integration consolidates the heterogeneous data into meaningful and valuable information. The main goal of this thesis is to investigate Semantic Web Technologies (SWT) for SCM with a specific focus on applications in the semiconductor industry. As part of SCM, End-to-End SC modeling ensures visibility of SC partners and flows. Existing models are limited in the way they represent operational SC relationships beyond one-to-one structures. The scarcity of empirical data from multiple SC partners hinders the analysis of the impact of supply network partners on each other and the benchmarking of the overall SC performance. In our work, we investigate (i) how semantic models can be used to standardize and benchmark SCs. Moreover, in a volatile and unpredictable environment, SC experts require methodical and efficient approaches to integrate various data sources for informed decision-making regarding SC behavior. Thus, this work addresses (ii) how semantic data integration can help make SCs more efficient and resilient. Moreover, to secure a good position in a competitive market, semiconductor SCs strive to implement operational strategies to control demand variation, i.e., bullwhip, while maintaining sustainable relationships with customers. We examine (iii) how we can apply semantic technologies to specifically support semiconductor SCs. In this thesis, we provide semantic models that integrate, in a standardized way, SC processes, structure, and flows, ensuring both an elaborate understanding of the holistic SCs and including granular operational details. We demonstrate that these models enable the instantiation of a synthetic SC for benchmarking. We contribute with semantic data integration applications to enable interoperability and make SCs more efficient and resilient. Moreover, we leverage ontologies and KGs to implement customer-oriented bullwhip-taming strategies. We create semantic-based approaches intertwined with Artificial Intelligence (AI) algorithms to address semiconductor industry specifics and ensure operational excellence. The results prove that relying on semantic technologies contributes to achieving rigorous and systematic SCM. We deem that better standardization, simulation, benchmarking, and analysis, as elaborated in the contributions, will help master more complex SC scenarios. SCs stakeholders can increasingly understand the domain and thus are better equipped with effective control strategies to restrain disruption accelerators, such as the bullwhip effect. In essence, the proposed Sematic Web Technology-based strategies unlock the potential to increase the efficiency, resilience, and operational excellence of supply networks and the semiconductor SC in particular

Towards an ontology driven approach for systems interoperability and energy management in the smart city

Modern Information and Communication Technologies are definitely a key factor to develop the green and sustainable applications that the so-called “smart city” needs. Effective management of resources, gathering and interpreting data as well as ecological considerations are prerequisites to turn such a vision into reality. The European FP7 project DIMMER address these issues by providing a flexible Internet of Thing platform for application development and data integration, exploiting information about buildings, energy distribution grids and user behaviors. Among those applications, the possibility to real-time access and aggregate information about building environmental characteristics and energy consumption enables the optimization of energy management and control, as well as the user’s awareness about, which is the scope of the DIMMER project. The paper will describe the ontology-driven approach, as well as the actual design, exploited to model the physical world within the context of this project, adding a special emphasis on the state of art research in the field of energy profiling

Requirements modelling and formal analysis using graph operations

The increasing complexity of enterprise systems requires a more advanced analysis of the representation of services expected than is currently possible. Consequently, the specification stage, which could be facilitated by formal verification, becomes very important to the system life-cycle. This paper presents a formal modelling approach, which may be used in order to better represent the reality of the system and to verify the awaited or existing system’s properties, taking into account the environmental characteristics. For that, we firstly propose a formalization process based upon properties specification, and secondly we use Conceptual Graphs operations to develop reasoning mechanisms of verifying requirements statements. The graphic visualization of these reasoning enables us to correctly capture the system specifications by making it easier to determine if desired properties hold. It is applied to the field of Enterprise modelling

Proceedings of the 4th Workshop of the MPM4CPS COST Action

Proceedings of the 4th Workshop of the MPM4CPS COST Action with the presentations delivered during the workshop and papers with extended versions of some of them

BIM communication waste

Developments in Information and Communication Technology can bring about significant improvements in the efficiency of the Architecture, Engineering and Construction and Facilities Management industry. Building Information Modelling (BIM), is a term which encompasses a type of software but more importantly a set of processes which, at their core, support an approach for integrated project delivery enabled by interoperable software systems. The last three years have seen intensified and coordinated adoption of BIM in the UK mainly as a result of the mandate of the UK government. One facet of these developments is the growing need for BIM collaboration tools which can interoperate effectively with the various BIM software systems, support the required standards and codes of practice and provide for requirements of construction project information production and management such as model-based workflows, model-based communication, model-based procurement, role-based data access and role-based privileges. The pre-requisites for collaboration can be broadly divided into two categories: (1) coordination of information and responsibilities, and (2) communication. This research recognizes the strong focus of recent and ongoing efforts to provide for coordination and aims to support the communication aspect. Additionally, successful collaborative practice results from (1) the "softer" or "human-aspect" issues: collaborative culture, software training and adherence to protocols as well as from (2) the provision of appropriate, intuitive and configurable collaboration tools and, more generally, digital collaboration environments. This research focuses on the latter. Despite efforts from a variety of software-as-a-service (SaaS) collaboration tool vendors to achieve dominance in the market, there is still uncertainty as to what type of solutions would best support BIM collaboration. Additionally, there is considerable variation in software configurations and a lack of a universally applicable method for evaluating the communication capabilities of BIM collaboration tools in a meaningful way. Vendors lack a robust conceptual framework to guide the long-term development of their tools and evaluate them. The process of requirements engineering, which in this context involves a diversity of stakeholders and involves projects at different BIM maturity levels would benefit significantly from a robust, context-specific conceptual model-ontology. The aim of this research is to produce a context-specific conceptual model-ontology which can support the discourse of requirements engineering and provide a robust and widely applicable framework for evaluating the communication capabilities of BIM collaboration tools. It is anticipated that this would help reduce BIM communication waste . To meet this aim, BIM collaboration tools were studied from five perspectives: 1.Users: their opinions, requirements and requests were collected through an online questionnaire survey. 2.Vendor: their perspective was captured through semi-structured interviews. 3.Schemata for interoperability: effectiveness of tools and schemata was evaluated through analysis of software by data fidelity study and scenario-based testing. 4.Tool use: patterns of digitally-enabled communication were explored through an analysis of communication data and meta-data collected from a collaboration tool. 5.Tool improvement: a successful approach in improving a collaboration tool was examined through the development of a context-specific requirements engineering process. This process was evaluated through semi-structured interviews with collaboration tool implementation consultants. Each perspective helped produce more specific requirements from the model as well as elements of the model itself. The end result was the Model for communication waste in BIM process interactions (WIMBIM). WIMBIM has the BIM process transmission as the fundamental unit of analysis and focuses on BIM communication waste and how it results from sub-optimal collaboration tools and schemata. The ultimate purpose of WIMBIM is to support the development of technology which would reduce this waste. This model was converted into a communicable format and was related to BIM standards to aid contextualization and gap identification. To evaluate the validity and utility of this model, interviews with BIM experts were conducted, and the proposed model was found to be a valid approach to address aspects of BIM waste, which is not usually examined and could potentially complement the existing model for BIM maturity. Additionally, the model provides a useful lens for further academic research into BIM collaboration tools