Academic Journal

Approaching Challenges in Representations of Date–Time Ambiguities

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Approaching Challenges in Representations of Date–Time Ambiguities
Συγγραφείς: Harb, Amer, Klonowska, Kamilla, Einarson, Daniel
Συνεισφορές: Kristianstad University, Faculty of Natural Science, Högskolan Kristianstad, Fakulteten för naturvetenskap, Originator, Kristianstad University, Faculty of Natural Science, Research environment of Computer science, Högskolan Kristianstad, Fakulteten för naturvetenskap, Research environment of Computer science, Originator, Kristianstad University, Faculty of Natural Science, Department of Computer Science, Högskolan Kristianstad, Fakulteten för naturvetenskap, Avdelningen för datavetenskap, Originator
Πηγή: Computers. 14(11)
Θεματικοί όροι: Natural sciences (1), Computer and Information Sciences (102), Computer Sciences (10201), Naturvetenskap (1), Data- och informationsvetenskap (102), Datavetenskap (10201)
Περιγραφή: Inconsistencies in Earth’s spinning, changes in calendar systems, etc., necessitate time being represented correspondingly. Date–time handling in programming involves spe-cific challenges, including conflicts between calendars, time zone discrepancies, day-light savings, and leap second adjustments—issues that other data types like numbers and text do not encounter. This article identifies these challenges and investigates ex-isting approaches to date–time representation. Limitations in current systems, includ-ing how leap seconds, time zone variations, and inconsistent calendar representations complicate date–time handling, is examined. Inconsistent date–time representations imply significant challenges, especially when considering the interplay of leap seconds and time zone shifts. This study highlights the need for a new approach to date–time data types addressing these problems effectively. The article reviews existing date–time data types and explores their shortcomings, proposing a theoretical frameworkfor a more robust solution. The study suggests that an improved date–time data type could enhance time resolution, support leap seconds, and offer greater flexibility in handling time zone shifts. Such a solution would provide a more reliable alternative to current systems. By addressing issues like leap second handling and time zone shifts, the proposed framework demonstrates the feasibility of a new date–time data type, with potential for broader adoption in future systems.
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  Data: Inconsistencies in Earth’s spinning, changes in calendar systems, etc., necessitate time being represented correspondingly. Date–time handling in programming involves spe-cific challenges, including conflicts between calendars, time zone discrepancies, day-light savings, and leap second adjustments—issues that other data types like numbers and text do not encounter. This article identifies these challenges and investigates ex-isting approaches to date–time representation. Limitations in current systems, includ-ing how leap seconds, time zone variations, and inconsistent calendar representations complicate date–time handling, is examined. Inconsistent date–time representations imply significant challenges, especially when considering the interplay of leap seconds and time zone shifts. This study highlights the need for a new approach to date–time data types addressing these problems effectively. The article reviews existing date–time data types and explores their shortcomings, proposing a theoretical frameworkfor a more robust solution. The study suggests that an improved date–time data type could enhance time resolution, support leap seconds, and offer greater flexibility in handling time zone shifts. Such a solution would provide a more reliable alternative to current systems. By addressing issues like leap second handling and time zone shifts, the proposed framework demonstrates the feasibility of a new date–time data type, with potential for broader adoption in future systems.
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