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Performance profiling consists of tracing a software system during execution and then analyzing the obtained traces. However, traces themselves affect the performance of the system distorting its execution. Therefore, there is a need to…

Performance · Computer Science 2007-05-23 Edu Metz , Raimondas Lencevicius

Before autonomous systems can be deployed in safety-critical applications, we must be able to understand and verify the safety of these systems. For cases where the risk or cost of real-world testing is prohibitive, we propose a…

Robotics · Computer Science 2023-09-18 Charles Dawson , Chuchu Fan

Runtime verification or runtime monitoring equips safety-critical cyber-physical systems to augment design assurance measures and ensure operational safety and security. Cyber-physical systems have interaction failures, attack surfaces, and…

Software Engineering · Computer Science 2022-06-23 Smitha Gautham , Georgios Bakirtzis , Alexander Will , Athira V. Jayakumar , Carl R. Elks

To accurately make adaptation decisions, a self-adaptive system needs precise means to analyze itself at runtime. To this end, runtime verification can be used in the feedback loop to check that the managed system satisfies its requirements…

Software Engineering · Computer Science 2023-03-30 Marc Carwehl , Thomas Vogel , Genaína Nunes Rodrigues , Lars Grunske

Static analysis tools are traditionally used to detect and flag programs that violate properties. We show that static analysis tools can also be used to perturb programs that satisfy a property to construct variants that violate the…

The dynamics of real-world applications and systems require efficient methods for improving infeasible solutions or restoring corrupted ones by making modifications to the current state of a system in a restricted way. We propose a new…

Smart environment applications demand novel solutions for managing quality of services, especially availability and reliability at run-time. The underlying systems are changing dynamically due to addition and removal of system components,…

Systems and Control · Computer Science 2015-07-02 Ehsan Ullah Warriach , Tanir Ozcelebi , Johan J. Lukkien

Self-adaptive software systems are often structured into an adaptation engine that manages an adaptable software by operating on a runtime model that represents the architecture of the software (model-based architectural self-adaptation).…

Software Engineering · Computer Science 2018-04-04 Thomas Vogel

Despite the effectiveness of deep neural networks in numerous natural language processing applications, recent findings have exposed the vulnerability of these language models when minor perturbations are introduced. While appearing…

Computation and Language · Computer Science 2024-04-02 Zhuotong Chen , Zihu Wang , Yifan Yang , Qianxiao Li , Zheng Zhang

Compensation programming is typically used in the programming of web service compositions whose correct implementation is crucial due to their handling of security-critical activities such as financial transactions. While traditional…

Software Engineering · Computer Science 2014-04-04 Christian Colombo , Gordon J. Pace

Agentic LLM frameworks promise autonomous behavior via task decomposition, tool use, and iterative planning, but most deployed systems remain brittle. They lack runtime introspection, cannot diagnose their own failure modes, and do not…

Artificial Intelligence · Computer Science 2025-12-10 Christopher Cruz

There is an increasing need to assess the correct behavior of self-adaptive and self-healing systems due to their adoption in critical and highly dynamic environments. However, there is a lack of systematic evaluation methods for…

Software Engineering · Computer Science 2023-03-14 Sehrish Malik , Moeen Ali Naqvi , Leon Moonen

Static code analysis is a powerful approach to detect quality deficiencies such as performance bottlenecks, safety violations or security vulnerabilities already during a software system's implementation. Yet, as current software systems…

Software Engineering · Computer Science 2017-10-23 Eric Bodden

A self-adaptive software system modifies its behavior at runtime in response to changes within the system or in its execution environment. The fulfillment of the system requirements needs to be guaranteed even in the presence of adverse…

In order to plan for failure recovery, the designers of cloud systems need to understand how their system can potentially fail. Unfortunately, analyzing the failure behavior of such systems can be very difficult and time-consuming, due to…

Software Engineering · Computer Science 2022-03-09 Domenico Cotroneo , Luigi De Simone , Pietro Liguori , Roberto Natella , Nematollah Bidokhti

Understanding the application resilience in the presence of faults is critical to address the HPC resilience challenge. Currently, we largely rely on random fault injection (RFI) to quantify the application resilience. However, RFI provides…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-02 Luanzheng Guo , Hanlin He , Dong Li

We propose a path-based approach to program repair for imperative programs. Our repair framework takes as input a faulty program, a logic specification that is refuted, and a hint where the fault may be located. An iterative abstraction…

Programming Languages · Computer Science 2015-03-18 Heinz Riener , Rüdiger Ehlers , Görschwin Fey

Operation management problems (such as Production Planning and Scheduling) are represented and formulated as optimization models. The resolution of such optimization models leads to solutions which have to be operated in an organization.…

Artificial Intelligence · Computer Science 2015-11-19 Oumaima Khaled

Static software checking tools are useful as an additional automated software inspection step that can easily be integrated in the development cycle and assist in creating secure, reliable and high quality code. However, an often quoted…

Software Engineering · Computer Science 2007-05-23 Cathal Boogerd , Leon Moonen

Training modern neural networks is increasingly fragile, with rare but severe destabilizing updates often causing irreversible divergence or silent performance degradation. Existing optimization methods primarily rely on preventive…

Machine Learning · Computer Science 2026-01-27 Barak Or