A5074765572- Software Engineering Research
- Software Engineering Techniques and Practices
- Software System Performance and Reliability
- Outsourcing and Supply Chain Management
- Big Data and Business Intelligence
- Cloud Computing and Resource Management
ING Bank
2019-2023
Late delivery of software projects and cost overruns have been common problems in the industry for decades. Both are manifestations deficiencies effort estimation during project planning. With being complex socio-technical systems, a large pool factors can affect on-time delivery. To identify most relevant their interactions affecting schedule deviations large-scale agile development, we conducted mixed-methods case study at ING: two rounds surveys revealed multitude organizational, people,...
Modern agile software projects are subject to constant change, making it essential re-asses overall delay risk throughout the project life cycle. Existing effort estimation models static and not able incorporate changes occurring during execution. In this paper, we propose a dynamic model for continuously predicting using patterns Bayesian modeling. The incorporates context of phase learns from in team performance over time. We apply approach real-world data 4,040 epics 270 teams at ING. An...
Modern agile software projects are subject to constant change, making it essential re-asses overall delay risk throughout the project life cycle. Existing effort estimation models static and not able incorporate changes occurring during execution. In this paper, we propose a dynamic model for continuously predicting using patterns Bayesian modeling. The incorporates context of phase learns from in team performance over time. We apply approach real-world data 4,040 epics 270 teams at ING. An...
The development of Cloud Infra-Services has shifted over the past decade in direction a software code process, also known as infrastructure (IaC). Contemporary continuous delivery settings industry require fast feedback. As consequence, companies need insight time spent, especially such services. We examine series 28 within ING, and explore which factors affect their overall to market time. An initial perception among several stakeholders Infra-Service that ING take longer than those peer...