Appendix To Software Migration: A Theoretical Framework A Grounded Theory approach on Systematic Literature Review

Software migration has been a research subject for a long time. Major research and industrial implementations have been conducted, shaping not only the techniques available nowadays, but also a good part of Software evolution jargon. To understand systematically the literature and grasp the major concepts is challenging and time consuming. Even more, research evolves, and it does based on the assumption that there is a single meaning that we all share redounding in the pollution of words with multiple and many times opposite meanings. In our quest to understand, share and contribute scientifically in this domain, we recognise this situation as a problem. To tackle down this problem we propose a taxonomy on the subject as a theoretical framework grounded on a systematic literature review. In this study we contribute a bottom-up taxonomy that links from the object of a migration t

Semantic Model Alignment for Business Process Integration

Business process models describe an enterprise’s way of conducting business and in this form the basis for shaping the organization and engineering the appropriate supporting or even enabling IT. Thereby, a major task in working with models is their analysis and comparison for the purpose of aligning them. As models can differ semantically not only concerning the modeling languages used, but even more so in the way in which the natural language for labeling the model elements has been applied, the correct identification of the intended meaning of a legacy model is a non-trivial task that thus far has only been solved by humans. In particular at the time of reorganizations, the set-up of B2B-collaborations or mergers and acquisitions the semantic analysis of models of different origin that need to be consolidated is a manual effort that is not only tedious and error-prone but also time consuming and costly and often even repetitive. For facilitating automation of this task by means of IT, in this thesis the new method of Semantic Model Alignment is presented. Its application enables to extract and formalize the semantics of models for relating them based on the modeling language used and determining similarities based on the natural language used in model element labels. The resulting alignment supports model-based semantic business process integration. The research conducted is based on a design-science oriented approach and the method developed has been created together with all its enabling artifacts. These results have been published as the research progressed and are presented here in this thesis based on a selection of peer reviewed publications comprehensively describing the various aspects

The manufacturing domain ontology for simplifying interoperability of systems for contact lens manufacture

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonThe advances in manufacturing systems and automation in recent years has been vast. The mechatronic age is apparent in any highly automated manufacturing facility. There is however, an emerging need to improve the domain model to keep pace. Much has been written regarding “big data” and the interoperability of systems, the detrimental effects of dirty data. This research sets out to review the current state of manufacturing domain data, the options for manipulating data while an organisation grows through natural growth and acquisitions. The research adopted a design science methodology to guide through an iterative process, adding more data and creating a higher level of understanding through each cycle. This research follows using a 4D foundation ontology to model the products and processes of a test case manufacturing organisation creating a minimum viable ontology. The accomplishments of this thesis are designing, building a foundation grounded ontological domain model for contact lenses and contact lens manufacturing process. In the final cycles of the evaluation, to empirically demonstrate the use of a philosophical foundational ontology within a legacy data conversion process enhancing the interoperability of systems by identifying and cleaning erroneous data. This research demonstrates the use of data representation, modelling using space time maps to explain both simple and complex domain data interactions within products and manufacturing processes

Building Enterprise Transition Plans Through the Development of Collapsing Design Structure Matrices

The United States Air Force (USAF), like many other large enterprises, has evolved over time, expanded its capabilities and has developed focused, yet often redundant, operational silos, functions and information systems (IS). Recent failures in enterprise integration efforts herald a need for a new method that can account for the challenges presented by decades of increases in enterprise complexity, redundancy and Operations and Maintenance (O&M) costs. Product or system-level research has dominated the study of traditional Design Structure Matrices (DSMs) with minimal coverage on enterprise-level issues. This research proposes a new method of collapsing DSMs (C-DSMs) to illustrate and mitigate the problem of enterprise IS redundancy while developing a systems integration plan. Through the use of iterative user constraints and controls, the C-DSM method employs an algorithmic and unbiased approach that automates the creation of a systems integration plan that provides not only a roadmap for complexity reduction, but also cost estimates for milestone evaluation. Inspired by a recent large IS integration program, an example C-DSM of 100 interrelated legacy systems was created. The C-DSM method indicates that if a slow path to integration is selected then cost savings are estimated to surpass integration costs after several iterations

Seamless Variability Management With the Virtual Platform

Customization is a general trend in software engineering, demanding systems that support variable stakeholder requirements. Two opposing strategies are commonly used to create variants: software clone & own and software configuration with an integrated platform. Organizations often start with the former, which is cheap, agile, and supports quick innovation, but does not scale. The latter scales by establishing an integrated platform that shares software assets between variants, but requires high up-front investments or risky migration processes. So, could we have a method that allows an easy transition or even combine the benefits of both strategies? We propose a method and tool that supports a truly incremental development of variant-rich systems, exploiting a spectrum between both opposing strategies. We design, formalize, and prototype the variability-management framework virtual platform. It bridges clone & own and platform-oriented development. Relying on programming-language-independent conceptual structures representing software assets, it offers operators for engineering and evolving a system, comprising: traditional, asset-oriented operators and novel, feature-oriented operators for incrementally adopting concepts of an integrated platform. The operators record meta-data that is exploited by other operators to support the transition. Among others, they eliminate expensive feature-location effort or the need to trace clones. Our evaluation simulates the evolution of a real-world, clone-based system, measuring its costs and benefits.Comment: 13 pages, 10 figures; accepted for publication at the 43rd International Conference on Software Engineering (ICSE 2021), main technical trac

Applying model-driven engineering in small software enterprises

International audienceModel-Driven Engineering (MDE) is increasingly gaining acceptance in the software engineering community, however its adoption by the industry is far from successful. The number of companies applying MDE is still very limited. Although several case studies and reports have been published on MDE adoption in large companies, experience reports on small enterprises are still rare, despite the fact that they represent a large part of the software companies ecosystem. In this paper we report on our practical experience in two transfer of technology projects on two small companies. In order to determine the degree of success of these projects we present some factors that have to be taken into account in transfer of technology projects. Then, we assess both projects analyzing these factors and applying some metrics to give hints about the potential productivity gains that MDE could bring. We also comment on some lessons learned. These experiences suggest that MDE has the potential to make small companies more competitive, because it enables them to build powerful automation tools at modest cost. We will also present the approach followed to train these companies in MDE, and we contribute the teaching material so that it can be used or adapted by others projects of this nature

A Systematic Review of the Integration of Industry 4.0 with Quality-related Operational Excellence Methodologies

This study examines the common themes for integrating Industry 4.0 with quality-related Operational Excellence methodologies to provide a comprehensive overview of ‘what’ and ‘how’ to combine them in an initial integration process. In addition, the gaps in the present literature are aggregated, and a research plan for the future is proposed. The study is based on a systematic review of 37 papers published in academic journals between 2015 and 2021. Unlike previous reviews, this study concentrates on the ‘what’ and ‘how’ level of Total Quality Management, Lean Six Sigma, and Business Process Management as quality-related Operational Excellence methodologies integrated with Industry 4.0 to provide a practical perspective when executing their integration and implementation. Findings indicate a strong technical and data-driven integration focus across the three themes. Furthermore, modes of action as moderators of success were derived as initial variables to be included in quality-driven Industry 4.0 transitions. Identifying gaps in the present literature and defining a research agenda centred on operational principles opens up opportunities for future study with significant practical value

An empirical study of the systemic and technical migration towards microservices

Context: As many organizations modernize their software architecture and transition to the cloud, migrations towards microservices become more popular. Even though such migrations help to achieve organizational agility and effectiveness in software development, they are also highly complex, long-running, and multi-faceted. Objective: In this study we aim to comprehensively map the journey towards microservices and describe in detail what such a migration entails. In particular, we aim to discuss not only the technical migration, but also the long-term journey of change, on a systemic level. Method: Our research method is an inductive, qualitative study on two data sources. Two main methodological steps take place – interviews and analysis of discussions from StackOverflow. The analysis of both, the 19 interviews and 215 StackOverflow discussions, is based on techniques found in grounded theory. Results: Our results depict the migration journey, as it materializes within the migrating organization, from structural changes to specific technical changes that take place in the work of engineers. We provide an overview of how microservices migrations take place as well as a deconstruction of high level modes of change to specific solution outcomes. Our theory contains 2 modes of change taking place in migration iterations, 14 activities and 53 solution outcomes of engineers. One of our findings is on the architectural change that is iterative and needs both a long and short term perspective, including both business and technical understanding. In addition, we found that a big proportion of the technical migration has to do with setting up supporting artifacts and changing the paradigm that software is developed

Studying the evolution of software through software clustering and concept analysis

This thesis describes an investigation into the use of software clustering and concept analysis techniques for studying the evolution of software. These techniques produce representations of software systems by clustering similar entities in the system together. The software engineering community has used these techniques for a number of different reasons but this is the first study to investigate their uses for evolution. The representations produced by software clustering and concept analysis techniques can be used to trace changes to a software system over a number of different versions of the system. This information can be used by system maintainers to identify worrying evolutionary trends or assess a proposed change by comparing it to the effects of an earlier, similar change. The work described here attempts to establish whether the use of software clustering and concept analysis techniques for studying the evolution of software is worth pursuing. Four techniques, chosen based on an extensive literature survey of the field, have been used to create representations of versions of a test software system. These representations have been examined to assess whether any observations about the evolution of the system can be drawn from them. The results are positive and it is thought that evolution of software systems could be studied by using these techniques