26,098 papers · page 202 of 1,305
Software composition analysis (SCA) tools are proposed to detect potential vulnerabilities introduced by open-source software (OSS) imported as third-party libraries (TPL). With the increasing complexity of software functionality, SCA tools may encounter various scenarios during …
Version incompatibility issues are rampant when reusing or reproducing deep learning models and applications. Existing techniques are limited to library dependency specifications declared in PyPI. Therefore, these techniques cannot detect version issues due to undocumented versio…
The increasing demand for software customization has led to the development of highly configurable systems. Combinatorial interaction testing (CIT) is an effective method for testing these types of systems. The ultimate goal of CIT is to generate a test suite of acceptable size, …
Smart contracts play an increasingly important role in Ethereum platform. It provides various functions implementing numerous services, whose bytecode runs on Ethereum Virtual Machine. To use services by invoking corresponding functions, the callers need to know the function sign…
Code clone detection refers to finding the functional similarities between two code fragments, which is becoming increasingly important with the evolution of software engineering. It is reasonable because code cloning can increase maintenance costs and even cause the propagation …
The development of Open Source Software (OSS) projects is a collaborative process that heavily relies on active contributions by passionate developers. Creating, retaining and nurturing an active community of developers is a challenging task; and finding the appropriate expertise…
Model comparison is a prerequisite task for several other model management tasks such as model merging, model differencing etc. We present a novel approach to efficiently compare models using programs written in a rule-based model comparison language. As the comparison is done at…
Many recommenders for modelling tasks have recently appeared. They use a variety of recommendation methods,tailored to concrete modelling languages. Typically, recommenders are created as independent programs, and subsequently need to be integrated within a modelling tool, incurr…
EAST-ADL is a domain-specific modelling language for the design and analysis of vehicular embedded systems. Seamless modelling through multiple concrete syntaxes for the same language, known as blended modelling, offers enhanced modelling flexibility to boost collaboration, lower…
The introduction of better abstractions is at the forefront of research and practice. Among many approaches, domain-specific languages are subject to an increase in popularity due to the need for easier, faster and more reliable application development that involves programmers a…
In modern systems engineering, domain experts increasingly utilize models to define domain-specific viewpoints in a highly interdisciplinary context. Despite considerable advances in developing model composition techniques, their integration in a largely heterogeneous language la…
In Software Language Engineering, the composition of heterogeneous languages has become an increasingly relevant research area in recent years. Despite considerable advances in different composition techniques, they mainly focus on composing concrete and abstract syntax, while a …
The Generalised-LL (GLL) context-free parsing algorithm was introduced at the 2009 LDTA workshop, and since then a series of variant algorithms and implementations have been described. There is a wide variety of optimisations that may be applied to GLL, some of which were already…
Software systems evolve more and more in complex and changing environments, often requiring runtime adaptation to best deliver their services. When self-adaptation is the main concern of the system, a manual implementation of the underlying feedback loop and trade-off analysis ma…
It is not uncommon to design a programming language as a core language with additional features that define some semantic analyses, but delegate others to their translation to the core. Many analyses require contextual information, such as a typing environment. When this is the s…
Software languages have pros and cons, and are usually chosen accordingly. In this context, it is common to involve different languages in the development of complex systems, each one specifically tailored for a given concern. However, these languages create de facto silos, and o…
Python is a popular programming language whose performance is known to be uncompetitive in comparison to static languages such as C. Although significant efforts have already accelerated implementations of the language, more efficient ones are still required. The development of s…
Static analyses provide the foundation for several tools that help developers find problems before executing the program under analysis. Common applications include warning about unused code, deprecated API calls, or about potential security vulnerabilities within an IDE. A stati…
Software language design and implementation often involve specifications written in various esoteric meta-languages. Language workbenches generally include support for precise name-based navigation when browsing language specifications locally, but such support is lacking when br…
Multiverse debugging extends classical and omniscient debugging to allow the exhaustive exploration of non-deterministic and concurrent systems during debug sessions. The introduction of user-defined reductions significantly improves the scalability of the approach. However, the …