Open Access Article SciPap-892
Requirement Analysis of Agile Information Systems and Business Processes: An Agricultural Case Study
by Athanasios Podaras 1,* and Tomáš Žižka 2

1 Faculty of Economics, Department of Informatics, Technical University of Liberec, Voroněžská 13, Liberec 460 01, Czechia

2 Faculty of Economics, Department of Informatics, Technical University of Liberec, Voroněžská 13, Liberec 460 01, Czechia

* Authors to whom correspondence should be addressed.

Abstract: The development of modern information systems is demanding and characterized by agility. Consequently, the extensive requirement analysis of these systems and the supported business processes has become vital for analysts, developers and the participating stakeholders. Use Cases are tested tools for analyzing the requirements of information systems. However, the difficulty in capturing use cases has triggered the proposal of methodologies which can derive use cases from business models. Nevertheless, modern agile information system development demands the reverse transformation as well. The current paper proposes the latter transition for analyzing business process requirements and describes it via a computer based pest scouting business process case study. The target business model for depicting business process representation workflows is the Business Object Relation Modeling method. The agricultural case study was selected because both the Business Object Relation Modeling method and the Use Case method have been already proposed for agricultural, food supply and environmental business process representation, and they are both easily comprehensible by all the involved stakeholders including farmers, growers and agronomists.

Keywords: Use Cases, Business Object Relation Modeling (Borm), Use Case To Borm Transformation Algorithm (Ucbta), Pest Scouting, Business Process Models

JEL classification:   M15 - IT Management,   Q16 - & • Agricultural Technology • Biofuels • Agricultural Extension Services

SciPap 2017, 25(3), 892

Received: 1 January 2017 / Accepted: 23 October 2017 / Published: 5 December 2017