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19th IEEE international conference on Automated Software engineering

作者： McNaughton, M Cutumisu, M Szafron, D Schaeffer, J Redford, J Parker, D Univ Alberta Dept Comp Sci Edmonton AB T6G 2E8 Canada

ISBN: (纸本)0769521312

the state-of-the-art in game scripting is to manually script individual game objects that interact in the game. thousands of non-player characters (NPCs) and props need to be scripted before they play a part in a game adventure. this situation introduces serious concerns about programming effort and reliability. We demonstrate ScriptEase [5], a tool to facilitate the game scripting process. It is based on generative design patterns for automatic code generation of scripts associated with game objects. ScriptEase is intended for a broad audience, from programmers to game designers and users without programming experience. Game designers can use commonly occurring patterns to generate scripting code without any programming knowledge. this demonstration illustrates the entire process of creating and scripting game props and NPCs.

关键词： Game theory

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Analyse and Evaluate Quixbugs with Open AI Codex and Powering Next Generation Application 6

Analyse and Evaluate Quixbugs with Open AI Codex and Powerin...

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6th international conference on Contemporary Computing and Informatics, IC3I 2023

作者： Tyagi, Deepanshu Tanwar, Sarvesh Mittal, Neetu Badotra, Sumit Amity Institute of Information Technology Amity University Uttar Pradesh Noida India School of Computer Science and Engineering Bennett University Uttar Pradesh Noida India

ISBN: (纸本)9798350304480

the paper investigates the ordinary language age limits of massive language models, with applications to the development of two types of learning tools commonly found in programming courses. We construct programming workouts and code explanations, reviewing these abstractly and statistically, using the Open AI Codex as the massive language model. Our findings indicate that the majority of the content so given is both unique and sensible, and that it is occasionally ready to use without any guarantees. While rehearsing, we discovered that it is astonishingly simple to affect both the programming ideas and the practical subjects they include simply by offering expressions of commitment to the model. Findings indicate massively generative computer intelligence models have fundamental value. © 2023 IEEE.

关键词： Application Codex GPT-3 Intelligence Java Open AI Security

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Certifiable program generation 05

Certifiable program generation

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4th international conference on generative programming and component engineering

作者： Denney, E Fischer, B NASA Ames Res Ctr USRA RIACS Moffett Field CA 94035 USA

ISBN: (纸本)3540291385

Code generators based on template expansion techniques are easier to build than purely deductive systems but do not guarantee the same level of assurance: instead of providing "coffectness-by-construction", the correctness of the generated code depends on the correctness of the generator itself. We present an alternative assurance approach, in which the generator is extended to enable Hoare-style safety proofs for each individual generated program. the proofs ensure that the generated code does not "go wrong", i.e., does not violate certain conditions during its execution. the crucial step in this approach is to extend the generator in such way that it produces all required annotations (i.e., pre-/postconditions and loop invariants) without compromising the assurance provided by the subsequent verification phase. this is achieved by embedding annotation templates into the code templates, which are then instantiated in parallel by the generator. this is feasible because the structure of the generated code and the possible safety properties are known when the generator is developed. It does not compromise the provided assurance because the annotations only serve as auxiliary lemmas and errors in the annotation templates ultimately lead to unprovable safety obligations. We have implemented this approach and integrated it into the AUTOBAYES and AUToFILTER program generators. We have then used it to, fully automatically prove that code generated by the two systems satisfies both language-specific properties such as array-bounds safety or proper variable initialization-before-use and domain-specific properties such as vector normalization, matrix symmetry, or correct sensor input usage.

关键词： Computer programming

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generative design supported by tree based genetic algorithm

Generative design supported by tree based genetic algorithm

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6th IEEE international conference on Computer and Information Technology, CIT 2006

作者： Liu, Hong Liu, Xiyu School of Information Science and Engineering Shandong Normal University Jinan 250014 China School of Management Shandong Normal University Jinan 250014 China

ISBN: (纸本)076952687X

this paper presents a novel computational approach that uses tree based genarative algorithm to generate design. this approach is illustrated by a reading lamp design example, which uses general mathematical expressions and tree-based genetic algorithm to generate 2D sketch shapes. then, these 2D sketch shapes are processed to form 3D components and saved in component base. A complex design is produced by combining different components. the result shows that approach is able to generate some innovative solutions and demonstrates the power of computational approach. © 2006 IEEE.

关键词： Computational methods

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Constraint programming for type inference in flexible model-driven engineering

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COMPUTER LANGUAGES SYSTEMS & STRUCTURES 2017年 49卷 216-230页

作者： Zolotas, Athanasios Clariso, Robert Matragkas, Nicholas Kolovos, Dimitrios S. Paige, Richard F. Univ York Comp Sci Dept York YO10 5GH N Yorkshire England Univ Oberta Catalunya IT Multimedia & Telecommun Dept Barcelona Spain Univ Hull Comp Sci Dept Kingston Upon Hull HU6 7RX N Humberside England

Domain experts typically have detailed knowledge of the concepts that are used in their domain;however they often lack the technical skills needed to translate that knowledge into model-driven engineering (MDE) idioms and technologies. Flexible or bottom-up modelling has been introduced to assist with the involvement of domain experts by promoting the use of simple drawing tools. In traditional MDE the engineering process starts with the definition of a metamodel which is used for the instantiation of models. In bottom-up MDE example models are defined at the beginning, letting the domain experts and language engineers focus on expressing the concepts rather than spending time on technical details of the metamodelling infrastructure. the metamodel is then created manually or inferred automatically. the flexibility that bottom-up MDE offers comes with the cost of having nodes in the example models left untyped. As a result, concepts that might be important for the definition of the domain will be ignored while the example models cannot be adequately re-used in future iterations of the language definition process. In this paper, we propose a novel approach that assists in the inference of the types of untyped model elements using Constraint programming. We evaluate the proposed approach in a number of example models to identify the performance of the prediction mechanism and the benefits it offers. the reduction in the effort needed to complete the missing types reaches up to 91.45% compared to the scenario where the language engineers had to identify and complete the types without guidance. (C) 2016 the Authors. Published by Elsevier Ltd.

关键词： Flexible modelling Bottom-up modelling Type inference Constraint programming Example-driven modelling

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generative and component-Based Software engineering 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Krzysztof Czarnecki Ulrich W. Eisenecker

ISBN: (数字)9783540400486

ISBN: (纸本)9783540411727

In the past two years, the Smalltalk and Java in Industry and Education C- ference (STJA) featured a special track on generative programming, which was organized by the working group \generative and component-Based Software engineering" of the \Gesellschaft fur ¨ Informatik" FG 2.1.9 \Object-Oriented Software engineering." this track covered a wide range of related topics from domain analysis, software system family engineering, and software product - nes, to extendible compilers and active libraries. the talks and keynotes directed towards this new software engineering paradigm received much attention and - terest from the STJA audience. Hence the STJA organizers suggested enlarging this track, making it more visible and open to wider, international participation. this is how the GCSE symposium was born. the rst GCSE symposium attracted 39 submissions from all over the world. this impressive number demonstrates the international interest in generative programming and related elds. After a careful review by the program comm- tee, fteen papers were selected for presentation. We are very grateful to the members of the program committee, all of them renowned experts, for their dedication in preparing thorough reviews of the submissions. Special thanks go to Elke Pulvermuller ¨ and Andreas Speck, who proposed and organized a special conference event, the Young Researches Workshop (YRW). this workshop provided a unique opportunity for young scientists and Ph.D.

关键词： Software engineering/programming and Operating Systems Software engineering programming Techniques programming Languages, Compilers, Interpreters Logics and Meanings of Programs

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Merge Conflict Resolution: Classification or Generation? 38

Merge Conflict Resolution: Classification or Generation?

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38th IEEE/ACM international conference on Automated Software engineering (ASE)

作者： Dong, Jinhao Zhu, Qihao Sun, Zeyu Lou, Yiling Hao, Dan Peking Univ Sch Comp Sci MoE Key Lab High Confidence Software Technol Peking U Beijing Peoples R China Zhongguancun Lab Beijing Peoples R China Fudan Univ Sch Comp Sci Shanghai Peoples R China

ISBN: (纸本)9798350329964

Collaborative development is critical to improve the productivity. Multiple contributors work simultaneously on the same project and might make changes to the same code locations. this can cause conflicts and require manual intervention from developers to resolve them. To alleviate the human efforts of manual conflict resolution, researchers have proposed various automatic techniques. More recently, deep learning models have been adopted to solve this problem and achieved state-of-the-art performance. However, these techniques leverage classification to combine the existing elements of input. the classification-based models cannot generate new tokens or produce flexible combinations, and have a wrong hypothesis that fine-grained conflicts of one single coarse-grained conflict are independent. In this work, we propose to generate the resolutions of merge conflicts from a totally new perspective, that is, generation, and we present a conflict resolution technique, MergeGen. First, we design a structural and fine-grained conflict-aware representation for the merge conflicts. then, we propose to leverage an encoder-decoder-based generative model to process the designed conflict representation and generate the resolutions auto-regressively. We further perform a comprehensive study to evaluate the effectiveness of MergeGen. the quantitative results show that MergeGen outperforms the state-of-the-art (SOTA) techniques from both precision and accuracy. Our evaluation on multiple programming languages verifies the good generalization ability of MergeGen. In addition, the ablation study shows that the major component of our technique makes a positive contribution to the performance of MergeGen, and the granularity analysis reveals the high tolerance of MergeGen to coarse-grained conflicts. Moreover, the analysis on generating new tokens further proves the advance of generative models.

关键词： Merge Conflict Resolution generative Models Conflict Representation

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Session details: Session 6 07

Session details: Session 6

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Proceedings of the 6th international conference on generative programming and component engineering

作者： Peter Sestoft IT University of Copenhagen

No abstract available.

ISBN: (纸本)9781595938558

No abstract available.

关键词：

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component-Based Software engineering 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Lars Grunske Ralf Reussner Frantisek Plasil

ISBN: (数字)9783642132384

ISBN: (纸本)9783642132377

the 2010 Symposium on component-Based Software engineering (CBSE 2010) was the 13th in a series of successful events that have grown into the main forum for industrial and academic experts to discuss component technology. CBSE is concerned with the development of software-intensive systems from - dependently developed software-building blocks (components), the development of components, and system maintenance and improvement by means of com- nent replacement and customization. the aim of the conference is to promote a science and technology foundation for achieving predictable quality in software systems through the use of software component technology and its associated software engineering practices. In line with a broad interest, CBSE 2010 received 48 submissions. From these submissions, 14 were accepted after a careful peer-review process followed by an online program committee discussion. this resulted in an acceptance rate of 29%. the selected technical papers are published in this volume. For the fourth time, CBSE 2010 was held as part of the conference series: Fed- ated Events on component-Based Software engineering and Software Archit- ture (COMPARCH). the federated events were: the 13th international S- posium on component-Based Software engineering (CBSE 2010), the 6th - ternational conference on the Quality of Software Architectures (QoSA 2010), andthe1stinternationalSymposium onArchitecting CriticalSystems(ISARCS 2010). Together with COMPARCH’s Industrial Experience Report Track and the co-located Workshop on component-Oriented programming (WCOP 2010), COMPARCH provided a broad spectrum of events related to components and architectures.

关键词： Software engineering/programming and Operating Systems Software engineering Logics and Meanings of Programs programming Languages, Compilers, Interpreters Computer Communication Networks programming Techniques

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Optimizing Multi-Vehicle Charging Infrastructure and Routing Using Mixed-Integer programming and Pareto Ranking-Based Genetic Algorithms 6

Optimizing Multi-Vehicle Charging Infrastructure and Routing...

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6th IEEE international conference on Power, Intelligent Computing and Systems, ICPICS 2024

作者： Xu, Qiheng Chang'an University Automotive Engineering Xi'an China

ISBN: (纸本)9798350374315

this research addresses the optimization of routes and the selection of locations for multiple electric logistics vehicle charging stations. Electric logistics vehicles, as a key component of new energy vehicles, offer significant environmental benefits such as zero emissions and high energy efficiency, making them ideal for urban logistics. However, efficient operation depends on the strategic placement of charging stations and effective route planning. this research introduces a mixed-integer programming model incorporating multi-vehicle configuration and genetic algorithms to solve the charging station location and path optimization problems. the model aims to minimize transportation costs, charging costs, time window penalties, environmental costs, and charging station construction costs. By factoring in battery capacity and time window constraints, the model ensures vehicles complete delivery tasks efficiently. the proposed Pareto ranking-based GA shows robust performance in generating high-quality solutions, as demonstrated by small, medium and large-scale examples. Sensitivity analysis confirms the model's practicality and reliability, showing the total delivery cost stabilizes as battery capacity increases. this study contributes to enhancing the operational efficiency and adoption of electric logistics vehicles through optimized charging infrastructure and route planning. © 2024 IEEE.

关键词： Charging stations

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