There is intrinsic uncertainty in product development. Uncertainty is often confused with risk, where unknowns can be identified in advance. Traditional predictive project management methods are based on risk management and it will be explained why ...

Current static source code analyzers can be slow, hard to use correctly, and expensive. If not properly configured, they can also generate large amounts of output, even for well-written code. To fix this, we developed a new tool called Cobra. The Cobra ...

In this talk I will provide a broad overview on developer productivity and dive deep into specific analysis related to how product, process and the people impact productivity. I will use examples from industry on effort estimation and defect prediction ...

We replicated the main result of DeepBugs, a bug detection algorithm for name-based bugs. The original authors evaluated it in three contexts: swapped-argument bugs, wrong binary operator,and wrong binary operator operands. We followed the algorithm and ...

We report here the use of the static analysis dataset generated by FindBugs in a recent EMSE '21 paper by Yang et al. The artifact reproduced is supervised models to perform static analysis based on a golden feature set as studied by Wang et al.

We report here the use of the 145 software engineering questions for data scientists presented in the Microsoft study in a recent FSE~'20 paper by Huijgens et al. The study by Begel et al. was replicated by Huijgens et al.

We report here the use of a keyword-based and regular expression-based approach to identify bug-fixing commits by linking commit messages and issue tracker data in a recent FSE '20 paper by Penta et al. in their paper "On the Relationship between ...

We report here the reuse of theoretical insights from deep learning literature, used in a recent TSE '21 paper by Yedida & Menzies. The artifact replicated is the lower bound on the number of piecewise linear regions in the decision boundary of a ...

We report here the reuse of oversampling, and modifications to the basic approach, used in a recent TSE ’21 paper by YedidaMenzies. The method reused is the oversampling technique studied by Buda et al. These methods were studied in the SE domain (...

While agile software development is increasingly adopted in large organizations, there is still a lack of studies on how traditionally organized enterprises adopt and scale agile forms of organization. This industrial multiple embedded case study ...

With the widespread adoption of smartphones in our daily life, mobile games experienced increasing demand over the past years. Meanwhile, the quality of mobile games has been continuously drawing more and more attention, which can greatly affect the ...

Log data is an essential and valuable resource of online service systems, which records detailed information of system running status and user behavior. Log anomaly detection is vital for service reliability engineering, which has been extensively ...

Fuzzing is a key tool used to reduce bugs in production software. At Google, fuzzing has uncovered tens of thousands of bugs. Fuzzing is also a popular subject of academic research. In 2020 alone, over 120 papers were published on the topic of improving,...

Continuous delivery of cloud systems requires constant running of jobs (build processes, tests, etc.). One issue that plagues this continuous integration (CI) process are intermittent failures - non-deterministic, false alarms that do not result from a ...

A test fails and despite an investigation by a developer there is no fault found (NFF). Large software systems are often released with known failing and flaky tests. In this work, we quantify how often a test fails and does not find a fault. We conduct ...

With the rapid development of distributed applications, smart contracts have attracted more and more developers' attentions. However, developers or domain experts have different levels of familiarity with specific programming languages, like Solidity, ...

Visual Programming Languages (VPLs), coupled with the high-level abstractions that are commonplace in visual programming environments, enable users with less technical knowledge to become proficient programmers. However, the lower skill floor required ...

The sound identification of refactoring opportunities is still an open problem in software engineering. Recent studies have shown the effectiveness of machine learning models in recommending methods that should undergo different refactoring operations. ...

Despite the availability of refactoring as a feature in popular IDEs, recent studies revealed that developers are reluctant to use them, and still prefer the manual refactoring of their code. At JetBrains, our goal is to fully support refactoring ...

When contributors to a software project leave, the knowledge they hold may become lost, thus impacting code quality and team productivity. Although well-known strategies can be used to mitigate knowledge loss, these strategies have to be tailored to ...