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Software product lines (SPL) are a method for the development of variant-rich software systems. Compared to non-variable systems, testing SPLs is extensive due to an increasingly amount of possible products. Different approaches exist for…

Software Engineering · Computer Science 2015-04-10 Hartmut Lackner , Martin Schmidt

A well-known approach for identifying defect-prone parts of software in order to focus testing is to use different kinds of product metrics such as size or complexity. Although this approach has been evaluated in many contexts, the question…

Software Engineering · Computer Science 2014-02-05 Frank Elberzhager , Stephan Kremer , Jürgen Münch , Danilo Assmann

An essential characteristic of mature software and system development organizations is the definition and use of explicit process models. For a number of reasons, it can be valuable to produce new process models by tailoring existing…

Software Engineering · Computer Science 2014-01-21 Martín Soto , Jürgen Münch

The IT Service Management (ITSM) industry has defined processes as best practices in the widely-accepted IT Infrastructure Library (ITIL) framework. However, studies on the measurement of ITSM process improvement are scant. Our research…

Computers and Society · Computer Science 2016-06-09 Anup Shrestha , Aileen Cater-Steel , Mark Toleman

This paper introduces an innovative approach that combines Large Language Models (LLMs) with Formal Verification strategies for automatic software vulnerability repair. Initially, we employ Bounded Model Checking (BMC) to identify…

Software Engineering · Computer Science 2024-07-01 Norbert Tihanyi , Ridhi Jain , Yiannis Charalambous , Mohamed Amine Ferrag , Youcheng Sun , Lucas C. Cordeiro

Project Management process plays a critical role in managing factors such as cost, time, technology and personnel towards achieving the success of a project and henceforth the sustainability of the company in the industrial market. This…

Software Engineering · Computer Science 2014-08-01 Shashi Kumar N. R. , T. R. Gopalakrishnan Nair , Suma V

The development of efficient exact and approximate algorithms for probabilistic inference is a long-standing goal of artificial intelligence research. Whereas substantial progress has been made in dealing with purely discrete or purely…

Artificial Intelligence · Computer Science 2024-10-23 Giuseppe Spallitta , Gabriele Masina , Paolo Morettin , Andrea Passerini , Roberto Sebastiani

MPI derived datatypes are an abstraction that simplifies handling of non-contiguous data in MPI applications. These datatypes are recursively constructed at runtime from primitive Named Types defined in the MPI standard. More recently, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-22 Carl Pearson , Kun Wu , I-Hsin Chung , Jinjun Xiong , Wen-Mei Hwu

Assessing processes is one of the best ways for an organization to start a software process improvement program. An alternative for organizations seeking for lighter assessments methods is to perform self-assessments, which can be carried…

Software Engineering · Computer Science 2018-12-24 Thaísa C. Lacerda , Christiane Gresse von Wangenheim , Jean C. R. Hauck

This manuscript signals a new era in the integration of artificial intelligence with software engineering, placing machines at the pinnacle of coding capability. We present a formalized, iterative methodology proving that AI can fully…

Software Engineering · Computer Science 2024-12-09 Alex , Liu , Vivian , Chi

During software development, developers often make numerous modifications to the software to address existing issues or implement new features. However, certain changes may inadvertently have a detrimental impact on the overall system…

Software Engineering · Computer Science 2024-08-16 Lizhi Liao , Simon Eismann , Heng Li , Cor-Paul Bezemer , Diego Elias Costa , Andre van Hoorn , Weiyi Shang

In this extended abstract, we discuss the opportunity to formally verify that inference systems for probabilistic programming guarantee good performance. In particular, we focus on hybrid inference systems that combine exact and approximate…

Programming Languages · Computer Science 2023-07-17 Eric Atkinson , Ellie Y. Cheng , Guillaume Baudart , Louis Mandel , Michael Carbin

Autonomous mobile robots (AMRs), used for search-and-rescue and remote exploration, require fast and robust planning and control schemes. Sampling-based approaches for Model Predictive Control, especially approaches based on the Model…

Robotics · Computer Science 2026-01-27 Tanmay Desai , Brian Plancher , R. Iris Bahar

Finely tuning MPI applications and understanding the influence of keyparameters (number of processes, granularity, collective operationalgorithms, virtual topology, and process placement) is critical toobtain good performance on…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-10 Tom Cornebize , Arnaud Legrand

Embedded systems interaction with environment inherently complicates understanding of requirements and their correct implementation. However, product uncertainty is highest during early stages of development. Design verification is an…

Software Engineering · Computer Science 2011-12-20 Hara Gopal Mani Pakala , Dr. Plh Varaprasad , Dr. Raju Kvsvn , Dr. Ibrahim Khan

In the development of industrial digital twins, the optimization problem of technological and business processes often arises. In many cases, this problem can be reduced to a large-scale linear programming (LP) problem. The article is…

Optimization and Control · Mathematics 2021-02-16 Leonid B. Sokolinsky , Irina M. Sokolinskaya

This work stems from three observations on prior Just-In-Time Software Defect Prediction (JIT-SDP) models. First, prior studies treat the JIT-SDP problem solely as a classification problem. Second, prior JIT-SDP studies do not consider that…

Software Engineering · Computer Science 2023-10-20 Yunhua Zhao , Hui Chen

As we have entered Exascale computing, the faults in high-performance systems are expected to increase considerably. To compensate for a higher failure rate, the standard checkpoint/restart technique would need to create checkpoints at a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-26 Sarthak Joshi , Sathish Vadhiyar

In recent years, Software has become an indispensable part of every segment from simple Office Automation to Space Technology and E-mail to E-commerce. The evolution in Software architecture is always an open issue for researchers to…

Software Engineering · Computer Science 2012-07-04 U. S. Poornima , V. Suma

Effective collaboration is a key factor in the success of a software project developed by a team. In this work, we suggest the approach of Synchronized Software Development (SSD), which promotes a new mechanism of collaboration in general,…

Software Engineering · Computer Science 2015-04-29 Stanislav Levin , Amiram Yehudai
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