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Engineering ai systems: A research agenda
Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …
industry. However, based on well over a dozen case studies, we have learned that …
Balanced scorecard-based Analysis about European Energy Investment Policies: A hybrid hesitant fuzzy decision-making approach with Quality Function Deployment
This study aims at analyzing the performance results of the European policies in energy
investment within an integrated multidimensional quality measurement approach. For this …
investment within an integrated multidimensional quality measurement approach. For this …
Chapter 12 The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale
Software development companies are increasingly aiming to become data-driven by trying
to continuously experiment with the products used by their customers. Although familiar with …
to continuously experiment with the products used by their customers. Although familiar with …
Software development measurement programs
When a scientist and an engineer measure something, they focus on two different things.
The scientist focuses on the ability of the measurement to quantify the measured thing …
The scientist focuses on the ability of the measurement to quantify the measured thing …
Supporting continuous integration by code-churn based test selection
Continuous integration promises advantages in large-scale software development by
enabling software development organizations to deliver new functions faster. However …
enabling software development organizations to deliver new functions faster. However …
Chapter 3 Efficient and Effective Exploratory Testing of Large-Scale Software Systems
Context: Exploratory testing plays an important role in the continuous integration and
delivery pipelines of large-scale software systems, but a holistic and structured approach is …
delivery pipelines of large-scale software systems, but a holistic and structured approach is …
Chapter 13 Engineering AI Systems: A Research Agenda
Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry, However, based on well over a dozen case studies, we have learned that …
industry, However, based on well over a dozen case studies, we have learned that …
A key performance indicator quality model and its industrial evaluation
Background: Modern software development companies increasingly rely on quantitative
data in their decision-making for product releases, organizational performance assessment …
data in their decision-making for product releases, organizational performance assessment …
Experimentation for business-to-business mission-critical systems: A case study
Continuous experimentation (CE) refers to a group of practices used by software companies
to rapidly assess the usage, value and performance of deployed software using data …
to rapidly assess the usage, value and performance of deployed software using data …
Automatic topic classification of test cases using text mining at an Android smartphone vendor
Background: An Android smartphone is an ecosystem of applications, drivers, operating
system components, and assets. The volume of the software is large and the number of test …
system components, and assets. The volume of the software is large and the number of test …