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Found 22 papers, 4 papers with code
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties
System-Level Test (SLT) has been a part of the test flow for integrated circuits for over a decade and still gains importance.
From Requirements to Architecture: An AI-Based Journey to Semi-Automatically Generate Software Architectures
Designing domain models and software architectures represents a significant challenge in software development, as the resulting architectures play a vital role in fulfilling the system's quality of service.
Methodical Approach for Centralization Evaluation of Modern Automotive E/E Architectures
Centralization is considered as a key enabler to master the CPU-intensive features of the modern car.
The Present and Future of Bots in Software Engineering
We are witnessing a massive adoption of software engineering bots, applications that react to events triggered by tools and messages posted by users and run automated tasks in response, in a variety of domains.
Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
With the recent proliferation of artificial intelligence systems, there has been a surge in the demand for explainability of these systems.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training
However, the presence of a feedback loop from the readout to the recurrent layer de-stabilizes the learning mechanism and prevents it from converging.
Optimization Networks for Integrated Machine Learning
In this contribution we revisit the core principles of optimization networks and demonstrate their suitability for solving machine learning problems.
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work
Previous work proposed to enhance the quality of the software requirements detecting language errors based on ISO 29148 requirements language criteria.
Learning to Plan via a Multi-Step Policy Regression Method
We propose a new approach to increase inference performance in environments that require a specific sequence of actions in order to be solved.
Software Engineering for AI-Based Systems: A Survey
Our results are valuable for: researchers, to quickly understand the state of the art and learn which topics need more research; practitioners, to learn about the approaches and challenges that SE entails for AI-based systems; and, educators, to bridge the gap among SE and AI in their curricula.
Exploring the Mysteries of System-Level Test
System-level test, or SLT, is an increasingly important process step in today's integrated circuit testing flows.
Hardware Architecture Software Engineering B.8.1
Résumé-Driven Development: A Definition and Empirical Characterization
We therefore empirically investigated this phenomenon by surveying 591 software professionals in both hiring (130) and technical (558) roles and identified RDD facets in substantial parts of our sample: 60% of our hiring professionals agreed that trends influence their job offerings, while 82% of our software professionals believed that using trending technologies in their daily work makes them more attractive for prospective employers.
Software Engineering Computers and Society
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
For instance, the most prolific method for detecting exoplanets and inferring several of their characteristics, transit photometry, is very sensitive to the presence of stellar spots.
An STPA-based Approach for Systematic Security Analysis of In-vehicle Diagnostic and Software Update Systems
In this paper, a system-oriented approach is proposed on the basis of the System-Theoretic Process Analysis (STPA).
Cryptography and Security Software Engineering Systems and Control Systems and Control
Perception and Acceptance of an Autonomous Refactoring Bot
The use of autonomous bots for automatic support in software development tasks is increasing.
Conversational Agents for Insurance Companies: From Theory to Practice
In this work we investigate the potential use of conversational agents in insurance companies theoretically by determining which classes of agents exist which are of interest to insurance companies, finding relevant use cases and requirements.
Open Science in Software Engineering
Open science describes the movement of making any research artefact available to the public and includes, but is not limited to, open access, open data, and open source.
Software Engineering
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies
Advances in artificial intelligence have renewed interest in conversational agents.
Human-Computer Interaction Computers and Society
Deconfounded Lexicon Induction for Interpretable Social Science
The first uses a bifurcated architecture to separate the explanatory power of the text and confounds.
A Systematic Review of Productivity Factors in Software Development
A plethora of studies has been conducted on various factors that resulted in several models for analysis and prediction of productivity.
Software Engineering
Can clone detection support quality assessments of requirements specifications?
Due to their pivotal role in software engineering, considerable effort is spent on the quality assurance of software requirements specifications.
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection
Genetic programming is a powerful heuristic search technique that is used for a number of real world applications to solve among others regression, classification, and time-series forecasting problems.
