Big Data for Safety: Using Quality Gates to Unleash the Power of Your Software Project Data

A software project accumulates vast data along its life-cycle: Requirements, designs, code, tests and tickets. In this talk we illustrate how this big data can be leveraged to achieve safety in a more efficient and cost-effective way.

Introducing Quality Gates monitoring project's compliance evolution is a way of ensuring that expectations are met. But, reaching perfection (all tests must pass, 100% compliance and no Technical Debt) is both time consuming and virtually unrealistic. A more efficient approach is to automatically leverage the project data to identify gaps between actual project indicators and specified target values and then to systematically reduce this gap.

Value for the audience:
A software project accumulates vast data along its life-cycle: Requirements, designs, code, tests and tickets. In this talk we illustrate how this big data can be leveraged to achieve safety in a more efficient and cost-effective way. After this talk, attendees know more about the use of high-level indicators in safety projects and how these indicators can be automatically calculated from development artefacts.

Problems addressed:
A software project accumulates vast data along its life-cycle: Requirements, designs, code, tests and tickets. In this talk we illustrate how this big data can be leveraged to achieve safety in a more efficient and cost-effective way.

Reporting safety compliance of industrial software projects can become a complex task, as safety standards, their variations, additional internal and external customer safety requirements have to be considered.

Presented by: Flavien Huynh
Company: Vector Informatik GmbH

Talk language: English
Level: Advanced
Target group: Software Developer, QA Engineers, Decision Maker, Team Leader, Project Leader, SW-Tester, Students,

Partner der Konferenz 2022

ASQF e.V ATB - Austrian Testing Board coderskitchen dpunkt.verlag GmbH Fortiss GmbH GTB - German Testing Board Heise Medien GmbH & Co. KG iSQI GmbH IT Verlag für Informationstechnik GmbH SIGS DATACOM GmbH TU Wien, Institut für Information Systems Engineering, CDL-SQI WKO - Wirtschaftskammer
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