| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Search the digital library catalog Help

Query: search in
search in
search in
search in
* old and bologna study programme

Options:
  Reset


1 - 5 / 5
First pagePrevious page1Next pageLast page
1.
Evaluating the usability and functionality of intelligent source code completion assistants: a comprehensive review
Tilen Hliš, Luka Četina, Tina Beranič, Luka Pavlič, 2023, original scientific article

Abstract: As artificial intelligence advances, source code completion assistants are becoming more advanced and powerful. Existing traditional assistants are no longer up to all the developers’ challenges. Traditional assistants usually present proposals in alphabetically sorted lists, which does not make a developer’s tasks any easier (i.e., they still have to search and filter an appropriate proposal manually). As a possible solution to the presented issue, intelligent assistants that can classify suggestions according to relevance in particular contexts have emerged. Artificial intelligence methods have proven to be successful in solving such problems. Advanced intelligent assistants not only take into account the context of a particular source code but also, more importantly, examine other available projects in detail to extract possible patterns related to particular source code intentions. This is how intelligent assistants try to provide developers with relevant suggestions. By conducting a systematic literature review, we examined the current intelligent assistant landscape. Based on our review, we tested four intelligent assistants and compared them according to their functionality. GitHub Copilot, which stood out, allows suggestions in the form of complete source code sections. One would expect that intelligent assistants, with their outstanding functionalities, would be one of the most popular helpers in a developer’s toolbox. However, through a survey we conducted among practitioners, the results, surprisingly, contradicted this idea. Although intelligent assistants promise high usability, our questionnaires indicate that usability improvements are still needed. However, our research data show that experienced developers value intelligent assistants highly, highlighting their significant utility for the experienced developers group when compared to less experienced individuals. The unexpectedly low net promoter score (NPS) for intelligent code assistants in our study was quite surprising, highlighting a stark contrast between the anticipated impact of these advanced tools and their actual reception among developers.
Keywords: intelligent assistants, source code completion, source code
Published in DKUM: 21.05.2024; Views: 96; Downloads: 4
.pdf Full text (590,64 KB)
This document has many files! More...

2.
3.
Primerjava samodejne in manualne ocene količine tehničnega dolga : magistrsko delo
Tilen Hliš, 2020, master's thesis

Abstract: V magistrskem delu smo raziskali področje metod za ocenjevanje količine tehničnega dolga. Izvedli smo sistematičen pregled literature, s katerim smo raziskali metode, ki se uporabljajo v orodjih za samodejno ocenjevanje količine tehničnega dolga. Analizirali in zbrali smo orodja, ki te metode implementirajo. Na petih izbranih projektih razvoja informacijskih rešitev smo izvedli popis tehničnega dolga. Pri tem smo najprej izvedli manualno identifikacijo in ocenjevanje količine tehničnega dolga. Sledila je samodejna identifikacija in ocenjevanje količine tehničnega dolga s pomočjo orodij. V zaključnem delu popisovanja smo dobljene manualne in samodejne ocene med seboj primerjali in analizirali. Empirični podatki, pridobljeni v popisu nakazujejo na velik razkorak med manualno in samodejno oceno.
Keywords: tehničen dolg, metode ocenjevanja, orodja, merjenje
Published in DKUM: 03.07.2020; Views: 1594; Downloads: 248
.pdf Full text (2,60 MB)

4.
5.
Orodje za upravljanje tehničnega dolga pri razvoju informacijskih rešitev
Tilen Hliš, 2018, undergraduate thesis

Abstract: Področje upravljanja tehničnega dolga velja za ključno točko v industriji razvoja informacijskih rešitev. Tehničen dolg je dolgoročno škodljiv. Na kratki rok ga lahko koristno izkoriščamo. Zaradi kontinuiranih sprememb na trgu in potrebe po agilnosti pri razvoju sodobnih informacijskih rešitev pridobivata sistematično vodenje in upravljanje tehničnega dolga vedno večjo veljavo. V diplomskem delu smo se osredotočili na metaforo tehničnega dolga in njegove tipe. Pozornost smo posvetili identifikaciji funkcionalnosti, ki jih razvijalci pričakujejo od orodja, ki bi jim pomagalo voditi tehnični dolg in pripadajoče aktivnosti ter pristope. Razvili smo spletno platformo in razširitveni modul izbranega razvojnega okolja za upravljanje tehničnega dolga.
Keywords: tehničen dolg, upravljanje, spletna platforma, razširitveni modul
Published in DKUM: 05.09.2018; Views: 2904; Downloads: 217
.pdf Full text (2,56 MB)

Search done in 0.44 sec.
Back to top
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica