Practical Experiences in the Use of Pattern-Recognition Strategies to Transform Software Project Plans into Software Business Processes of Information Technology Companies

Autor: C. Arevalo, Javier J. Gutiérrez, Isabel Ramos, M. Cruz
Přispěvatelé: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla. TIC021: Ingeniería Web y Testing Temprano, Ministerio de Economía y Competitividad (MINECO). España
Rok vydání: 2019
Předmět:
Zdroj: idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Scientific Programming, Vol 2019 (2019)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
ISSN: 2016-7695
Popis: Business process management (BPM) is a strategic advantage for all kinds of organizations, including information technology companies (ITCs), which cannot stay out of the BPM approach. ITCs manage business processes like projects to create and maintain software. Although Project Management Systems (PMSs), such as Microsoft™ Project Server® (MPS®), are considered as non-process-aware information systems (Non-PAISs), they may be a source to generate processes. In this paper, we propose a reverse engineering approach, which uses patterns to transform software projects stored in MPS® legacy databases into software business processes. For this, we base on the model-driven engineering paradigm and deal with the time perspective of the processes. &is kind of experiences are scarce or almost nonexistent, so we show the AQUA-WS project case study, which runs with MPS® as source system and software process modeling languages as target systems. ITCs can benefit from this research by gathering knowledge about perspectives of their processes that would otherwise be wasted, such as executed projects or expired documents used in Non-PAISs. &is fact can become a key factor for ITCs, which can increase their competitiveness and reduce software costs, as part of the BPM lifecycle of continuous improvement. Ministerio de Economía y Competitividad TIN2016-76956-C3-2-R
Databáze: OpenAIRE