Iskanje po katalogu digitalne knjižnice

Opis: This paper presents a grammarware-based approach to developing active video games (AVGs) for sensor-driven training systems. The GCGame domain-specific language (DSL) is introduced to define game logic, sensor interactions, and timing behavior formally. This approach ensures cross-platform consistency, supports real-time configurability, and simplifies the integration of optimization and visualization tools. The presented system, called GCBLE, serves as a case study, demonstrating how grammarware enhances modularity, maintainability, and adaptability in real-world physical interaction applications. The results highlight the potential of a DSL-driven design to bridge the gap between developers and domain experts in embedded interactive systems
Ključne besede: active video games, grammarware, internet of things, DSL, procedural level generation, evolutionary computation, game controllers
Objavljeno v DKUM: 23.04.2025; Ogledov: 0; Prenosov: 2
Celotno besedilo (4,32 MB)

Opis: Model-driven engineering is a well-established software development methodology that uses models to develop applications where the end-users with visual elements model abstractions from a specific domain. These models are based on domain-specific modeling language (DSML), which is particular to the problem domain. During DSML use, new ideas emerge and DSMLs evolve. However, reports on DSML evolution are rare. This study presents a new DSML called RT-Sequencer that evolved from our DSML Sequencer to support, in addition to the Data Acquisition domain, also a new domain—Real-Time Control (RTC) systems. The process of defining models with a new language RT-Sequencer has changed in a way that new end-users were introduced—advanced endusers, which use general-purpose language (GPL) and advanced programming concepts to define modeling environments for the RT-Sequencer end-users. More specifically, an industrial experience with the RT-Sequencer is presented, where DSML was opened for extension so that a GPL code could be inserted into the model to create new visual blocks for the end-user, and the possibility to adapt and optimize the execution code for a particular task. Our experience shows the specific case of DSML evolution supporting another problem domain, and the implementation effort needed to extend domain-specific modeling language with GPL support.
Ključne besede: model-driven engineering, domain-specific modeling languages, measurement systems, Real-Time Control systems, data acquisition, language evolution, experience report
Objavljeno v DKUM: 27.03.2025; Ogledov: 0; Prenosov: 2
Celotno besedilo (1,70 MB)
Gradivo ima več datotek! Več...

Opis: Diplomsko delo se osredotoča na primerjavo dveh priljubljenih sistemov za upravljanje vsebin, Wix in WordPress, s poudarkom na uporabniški izkušnji, prilagodljivosti, tehnični zahtevnosti in stroških. Raziskuje tudi vlogo umetne inteligence pri generiranju spletnih strani. V okviru diplomskega dela sta bili izdelani dve spletni strani, ena s sistemom WordPress in druga z Wix. Na koncu je bila izvedena primerjalna analiza obeh sistemov ter podani odgovori na raziskovalna vprašanja.
Ključne besede: Umetna inteligenca, WordPress, Wix, CMS-primerjava
Objavljeno v DKUM: 22.10.2024; Ogledov: 0; Prenosov: 45
Celotno besedilo (2,87 MB)

Opis: V sklopu diplomskega dela smo razvili spletno orodje za učinkovito vodenje projektov, ki združuje moči Angularja za čelni del in ogrodja Spring Boot za zaledni del. Na začetku se osredotočimo na analizo problematike, s katero se podjetja soočajo pri upravljanju projektov z obstoječimi rešitvami, ter raziščemo prednosti uporabe spletnih rešitev, razvitih s pomočjo Angularja in Spring Boota. V glavnem delu nato predstavimo potek razvoja spletne aplikacije, ki podjetjem omogoča boljše upravljanje projektov z intuitivnim vmesnikom, izboljšano sledljivostjo napredka in funkcijami, ki pripomorejo k povečanju produktivnosti in učinkovitosti. Na koncu pa podamo še analizo razvitega orodja.
Ključne besede: vodenje projektov, Angular, Spring Boot, spletna aplikacija
Objavljeno v DKUM: 19.09.2024; Ogledov: 0; Prenosov: 37
Celotno besedilo (2,47 MB)

Opis: The use of large language models with chatbots like ChatGPT has become increasingly popular among students, especially in Computer Science education. However, significant debates exist in the education community on the role of ChatGPT in learning. Therefore, it is critical to understand the potential impact of ChatGPT on the learning, engagement, and overall success of students in classrooms. In this empirical study, we report on a controlled experiment with 182 participants in a first-year undergraduate course on object-oriented programming. Our differential study divided students into two groups, one using ChatGPT and the other not using it for practical programming assignments. The study results showed that the students’ performance is not influenced by ChatGPT usage (no statistical significance between groups with a p-value of 0.730), nor are the grading results of practical assignments (p-value 0.760) and midterm exams (p-value 0.856). Our findings from the controlled experiment suggest that it is safe for novice programmers to use ChatGPT if specific measures and adjustments are adopted in the education process.
Ključne besede: large language models, ChatGPT, artificial intelligence, controlled experiment, object-oriented programming, software engineering education
Objavljeno v DKUM: 12.08.2024; Ogledov: 59; Prenosov: 7
Celotno besedilo (492,37 KB)