InfoQ Homepage Stories & Case Studies Content on InfoQ
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Using Generative AI in Software Project Management to Bridge Domains and Accelerate Productivity
Gen AI Assistants play to the strengths of professionals with a breadth of experience, particularly software developers who can describe what they want the LLM to complete and critically evaluate the result. These tools enable us to swiftly cross divides of domain language and scale large repetitive tasks down to interesting ones on a human scale.
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Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality
When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation. The data used in training is where the functionality is ultimately defined, and that is where you will find your issues and bugs.
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Reducing Verification Lead Time by 50% by Lowering Defect Slippage and Applying AI/ML Techniques
Can we increase our flexibility? Can we increase our test coverage? Can we increase our efficiency? And is it possible to reduce our verification lead-time by 50%? One company challenged itself with these questions. This article explores two important “‘pillars”’ of their testing strategy: shifting left and using state-of-the-art techniques to support verification activities.
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Actionable Green Choices for Your Software, Your Products, and You
Climate change is no longer just a huge worry cloud hanging over our heads. There are solutions, choices, and actions we can take - for ourselves, our children, and the future. This article gives you information about some of those choices: some bare glimpses into the art of the possible; others are tried and tested methods with known outcomes.
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Debugging outside Your Comfort Zone: Diving beneath a Trusted Abstraction
This article takes a deep dive through a complex outage in the main database cluster of a payments company. We’ll focus on the aftermath of the incident - the process of understanding what went wrong, recreating the outage in a test cluster, and coming up with a way to stop it from happening again, and dive deep into the internals of Postgres, and learn about how it stores data on disk.
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Data-Driven Decision Making - Software Delivery Performance Indicators at Different Granularities
Optimizing a software delivery organization is not a straightforward process standardized in the software industry. Getting the organization to analyze the data and act on it is a difficult undertaking. This article presents insights into how a socio-technical framework for optimizing a software delivery organization has been set up and brought to the point of regular use.
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Start Your Architecture Modernization with Domain-Driven Discovery
Successful projects start with robust discovery. What if your project is modernizing your tangled old legacy system or migrating all your workloads to the cloud? This article presents a guided approach to starting your next architecture modernization project with a Domain-Driven Discovery (DDD), illustrated with a medical supply company that is migrating its core systems to the cloud.
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Assessing Organizational Culture to Drive SRE Adoption
SRE adoption is greatly influenced by the organizational culture at hand. This article describes how to assess the organizational culture in terms of production operations at the beginning of the SRE transformation. It provides a roadmap of small culture changes accumulating over time, and shows how the leadership facilitated the necessary culture changes
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How Skyscanner Embedded a Team Metrics Culture for Continuous Improvement
This article explains why Skyscanner decided not just to deploy a tool, but to think about this as changing their engineering management culture to being one that values and utilises metrics to drive greater improvement at scale. It shows how they evaluated tools to find one that would enable their teams and reinforce the cultural change that was the fundamental goal of this exercise.
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Moving towards a Future of Testing in the Metaverse
In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges. To wrap up, he shares some of his thoughts on the role of software testers as we move towards a future of testing in the metaverse.
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How I Contributed as a Tester to a Machine Learning System: Opportunities, Challenges and Learnings
Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers themselves. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make. This is a journey of assuring quality of ML-based systems as a tester.
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Secure Delivery: Better Workflows for Secure Systems and Pain-Free Delivery
The software delivery process has been transformed in the last decade; we’ve adopted well-understood workflows around functions such as testing, release management and operational support. In this article we'll explore the impact that security workflows have on software delivery, explain the root causes and share battle-proven techniques to show how we can make delivering secure software easier.