software development

Field Meets Code

Field Meets Code

Artificial intelligence for better collaboration in software development
Andreas Groche, Dominik Augenstein
Software development is fundamental to digital transformation. A good foundation of data is required for developers to tailor software to the needs of the commissioning department. Unfortunately, the data models required for this are incomplete, often created unilaterally by the development department and not embedded in the business context. This makes it difficult for both developers and AI to find the right algorithms. The present approach increases understanding and exchange between the specialist and development departments and offers digital assistance with data modeling as a basis for software development. Furthermore, AI approaches can help to increase the quality and completeness of the data.
Industry 4.0 Science | Volume 41 | Edition 4 | Pages 104-110
Process Reference Model (PRM) for AI Development in Vehicles

Process Reference Model (PRM) for AI Development in Vehicles

Practical guide to the development of AI functionalities in the automotive industry
Sebastian Grundstein ORCID Icon, Bernhard Burger, Andreas Aichele ORCID Icon
Artificial intelligence is increasingly being integrated into vehicles, but conventional product development processes often do not fully capture the specific requirements of AI projects. In order to meet these requirements, a process reference model (PRM) has been developed specifically for the development of AI functionalities in the automotive industry. This model is intended to support companies in adapting their conventional software development processes more easily to the special features of AI projects.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 96-101
Lean Empowerment in the Digital Ecosystem

Lean Empowerment in the Digital Ecosystem

Translating cultural values into technical requirements
Frank Bertagnolli ORCID Icon, Sabrina Karch ORCID Icon, Arndt Lüder ORCID Icon
With the advent of digitalization, prevailing paradigms – such as product centricity, face-to-face collaboration and hierarchical structures – are giving way to the vision of data-driven business models, digital, collaborative ecosystems and an agile, holacratic way of working in flat hierarchies and self-managing teams. Collaboration is made possible through the use of software solutions. In addition to adapted management concepts, the digital space also requires a digital cultural understanding on part of the companies involved. Lean empowerment is a pioneering approach to collaboration based on cultural values. In expert workshops, ideas were developed to explore how these values can be lived in a digital culture and thus in terms of global digital collaboration. This article presents concrete solutions from which requirements for digital collaboration and for implementation within IT structures and software solutions in particular can be derived.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 32-39 | DOI 10.30844/I4SE.24.2.32
Integrated Quality of Corporate Software

Integrated Quality of Corporate Software

Andrea Herrmann, Barbara Paech, Carsten Binnig, Timea Illes, Stefan Kirn, Daniel Weiß, Donald Kossmann, Günter Müller, Maike Gilliot, Lutz Lowis
IT systems which operate in a dynamic environment must adapt to permanently changing business requirements. In particular new compliance rules like Sarbanes-Oxley-Act or BASEL II demand complete transparency of business processes and IT-support, also after changes. IT-departments and software providers need to clearly define and continuously assure the quality of the IT system during development and operation.
Industrie Management | Volume 22 | 2006 | Edition 6 | Pages 59-61
The Quality Gate Plan

The Quality Gate Plan

Planning, Synchronising and Assuring the Development of Software-intensive Systems
Tilo Pfeifer, Reinhard Schmidt
The software embedded in technical products has increasingly become the driving force of product innovations. Software has rapidly acquired relevance and complexity, particularly in the areas of industrial and automotive engineering. The development of the software, however, is faced with the often difficult task of integrating the systems into complex technological environments such as cars or production lines which rigid requirements concerning safety and reliability. To cope with these challenges a close collaboration between the developers of various areas of expertise such as mechanical, electrical, and software engineering is indispensable. Particularly the involvement of the software development is a common weak point in many companies. With the Quality Gate Plan this article presents an approach to the project management for the development of software-intensive sys-tems.
Industrie Management | Volume 19 | 2003 | Edition 5 | Pages 21-24
Knowledge Modeler Description Language (KMDL)

Knowledge Modeler Description Language (KMDL)

Modeling knowledge-intensive business processes
Norbert Gronau ORCID Icon
Knowledge as a resource for business value creation became an increased importance during the last years. Industries are mainly influenced, which value creation is basing for the most part on the acquisition, generation and usage of knowledge. Known tools for business process modelling only consider explicit knowledge which is represented in a formal manner. There is no focus on person-related knowledge that is not mainly used for information processing. KMDL allows the modelling and analysis of knowledge intensive business processes like software engineering, mechanical design or technical sales and basing on this the planning of knowledge management systems and their integration into a firm.
Industrie Management | Volume 19 | 2003 | Edition 3 | Pages 9-13