Building a scalable development cluster at Adyen

Software systems today are growing to incredible proportions. Software impacts everything in our society today, and its impact on the world keeps growing every day. However, developing large software systems is becoming an increasingly complex task, due to the immense complexity and size. For a software engineer to stay productive, it is vital...

Material Tracking System

For a steel company it is advantageous to be able to easily track steel through the production process. At Tata Steel this is currently done with the Material Tracking Table. However, generating this table takes months. Therefore a new system had to be developed. This paper describes the building of such a new system, which generates this...

Towards Understanding How Developers Comprehend Tests

Developers spend the majority of their time and effort on reading and comprehending source code. In order to improve this process of program comprehension for developers, a numerous amount of existing studies have looked into understanding how developers approach it and factors of influence. However, less is known in the field about how...

Increasing Operational Awareness using Monitoring-Aware IDEs

It is important to detect problems fast and to have a clear overview of what is happening within a system after deployment to maximize the uptime and functional quality of the system. Therefore it is necessary to increase the awareness that developers have of errors and logs. Increasing the awareness that developers have of errors and logs has a...

A large-scale evaluation of tracing back log data to its origin with static analysis

Logs are widely used as source of information to understand the activity of computer systems and to monitor their health and stability. As large-scale systems generate hundreds of millions of logs per hour reaching tens of terabytes, automated techniques exist to take advantage of the rich information present in logs. However, these techniques...

Detecting Breaking Changes in JavaScript APIs

The goal of this thesis is to explore the current possibilities for detecting breaking changes in JavaScript. For this, we propose an approach and show its accuracy by constructing a tool and evaluating it. The evaluation is carried out on 3 chosen JavaScript projects and a total of 3000 consumer packages. For each of the projects, we compute...

An Exploratory Study on Faults in Web API Integration

Nowadays, service-oriented architectures are more popular than ever, and more and more companies and organizations depend on services offered through Web APIs. The capabilities and complexity of Web APIs differ from service to service, and therefore the impact of API errors varies. API problem cases related to Adyen’s payment service were found...

Why and How JavaScript Developers Use Linters

A linter is a type of static analysis tool that warns software developers about pos- sible errors in code or violations to coding standards. By using such a tool, errors can be surfaced early in the development process when they are cheaper to fix, and code can be kept more readable and maintainable. For such a tool to be successful, it is...

Modeling the Exception Flow in PHP Systems

The goal of this thesis is to learn how exception handling constructs are used by PHP developers. We present an approach for detecting the exception flow of a software system, based on the work of Robillard and Murphy (2003). We show the accuracy of this approach by evaluating the tool on a corpus of three different PHP systems. The approach is...

Search-Based Test Data Generation for SQL Queries

Software testing is an important, well-researched field.<br/>With the majority of modern-day applications using relational databases to manipulate their data, it is crucial that database interactions are tested as well.<br/>This is a complex task to perform manually, and thus researchers have been attempting to tackle this problem by means of...

Log Analysis from A to Z: A Literature Survey

Using logs to detect and diagnose problems in software systems is no longer a feasible human process. The ever increasing amount of logs produced by present-day systems calls for more advanced techniques to enable log analysis. A great deal of log research has since then been focused on abstracting over log messages, clever analysis techniques...