0000000000477962

AUTHOR

Peng Liang

showing 3 related works from this author

AI ethics:an empirical study on the views of practitioners and lawmakers

2023

Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart systems contexts; however, such technologies are concerned with ethical uncertainties. Various guidelines, principles, and regulatory frameworks are designed to ensure that AI technologies adhere to ethical well-being. However, the implications of AI ethics principles and guidelines are still being debated. To further explore the significance of AI ethics principles and relevant challenges, we conducted a survey of 99 randomly selected representative AI practitioners and lawmakers (e.g., AI engineers and lawyers) from 20 countries across five continents. To the best of our knowledge, this is the …

haasteet (ongelmat)FOS: Computer and information sciences213 Electronic automation and communications engineering electronicschallengestekoäly113 Computer and information sciencesArtificial intelligence (AI)Human-Computer InteractionComputer Science - Computers and SocietyAI ethicsAI ethics principlesModeling and SimulationComputers and Society (cs.CY)machine ethicsaccountable artificial intelligenceetiikkaSocial Sciences (miscellaneous)
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Towards Human-Bot Collaborative Software Architecting with ChatGPT

2023

Architecting software-intensive systems can be a complex process. It deals with the daunting tasks of unifying stakeholders' perspectives, designers' intellect, tool-based automation, pattern-driven reuse, and so on, to sketch a blueprint that guides software implementation and evaluation. Despite its benefits, architecture-centric software engineering (ACSE) inherits a multitude of challenges. ACSE challenges could stem from a lack of standardized processes, socio-technical limitations, and scarcity of human expertise etc. that can impede the development of existing and emergent classes of software (e.g., IoTs, blockchain, quantum systems). Software Development Bots (DevBots) trained on la…

Software Engineering (cs.SE)FOS: Computer and information sciencessoftware architectureComputer Science - Software EngineeringArtificial Intelligence (cs.AI)ChatGPTComputer Science - Artificial Intelligenceohjelmistoarkkitehtuurilarge language modelsDevBotstekoäly
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A Decision Model for Selecting Patterns and Strategies to Decompose Applications into Microservices

2021

Microservices Architecture (MSA) style is a promising design approach to develop software applications consisting of multiple small and independently deployable services. Over the past few years, researchers and practitioners have proposed many MSA patterns and strategies covering various aspects of microservices design, such as application decomposition. However, selecting appropriate patterns and strategies can entail various challenges for practitioners. To this end, this study proposes a decision model for selecting patterns and strategies to decompose applications into microservices. We used peer-reviewed and grey literature to collect the patterns, strategies, and quality attributes f…

FOS: Computer and information sciencesquality attributebusiness.industryComputer sciencemicroservices patternmedia_common.quotation_subjectMicroservicesGrey literatureSoftware Engineering (cs.SE)ohjelmistosuunnitteluComputer Science - Software EngineeringSoftwaremicroservices architectureohjelmistoarkkitehtuurimicroservices systemQuality (business)decision modelArchitectureSoftware engineeringbusinessohjelmistokehitysDecision modelmedia_common
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