• Socio–Technical Software Engineering: a Quality–Architecture–Process Perspective
  • Russo, Daniel <1988>

Subject

  • INF/01 Informatica

Description

  • This dissertation provides a model, which focuses on Quality, Architecture, and Process aspects, to manage software development lifecycles in a sustainable way. Here, with sustainability is meant a context-aware approach to IT, which considers all relevant socio-technical units of analysis. Both social (e.g., at the level of the stakeholders community, organization, team, individual) and technical (e.g., technological environments coding standards, language) dimensions play a key role to develop IT systems which respond to contingent needs and may implement future requirements in a flexible manner. We used different research methods and analyzed the problem from several perspectives, in a pragmatic way, to deliver useful insights both to the research and practitioners communities. The Software Quality, Architecture, and Process (SQuAP) model, highlights the key critical factors to develop systems in a sustainable ways. The model was firstly induced and then deduced from a longitudinal research of the financial sector. To support the model, SQuAP-ont, an OWL ontology was develop as a managerial and assessment tool. A real-world case study within a mission-critical environment shows how these dimensions are critical for the development of IT applications. Relevant IT managers concerns were also covered with reference to software reuse and contracting problems. Finally, a long-term contribution for the educational community presents actionable teaching styles and models to train future professionals to act in a Cooperative Thinking fashion.

Date

  • 2019-04-04

Type

  • Doctoral Thesis
  • PeerReviewed

Format

  • application/pdf

Identifier

urn:nbn:it:unibo-24972

Russo, Daniel (2019) Socio–Technical Software Engineering: a Quality–Architecture–Process Perspective, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Computer science and engineering , 31 Ciclo. DOI 10.6092/unibo/amsdottorato/8782.

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