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AI Empowered Program Performance Analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI Empowered Program Performance Analysis./
Author:	Liang, Yuchen.
Description:	1 online resource (27 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-01.
Contained By:	Masters Abstracts International85-01.
Subject:	Software. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30516354click for full text (PQDT)
ISBN:	9798379871369

AI Empowered Program Performance Analysis.
Liang, Yuchen.

AI Empowered Program Performance Analysis. - 1 online resource (27 pages)

Source: Masters Abstracts International, Volume: 85-01.

Thesis (M.Sc.)--North Carolina State University, 2023.

Includes bibliographical references

As software programs become increasingly complex, identifying and solving performance issues becomes more challenging. Dynamic profiling tools can help identify hotspots and bottlenecks, providing comprehensive and accurate information to developers. However, analyzing and processing the data collected by these tools can be complex and time-consuming. Additionally, diagnosing and optimizing performance problems requires a deep understanding of data structures, algorithms, and memory mechanisms.This thesis proposes a new tool combining multiple metric profiles and providing diagnostic reports and optimization recommendations. The key idea is to develop a rule for discovering the hot spot function, finding whether the problem is in the CPU, memory, or other aspects, and then producing prompts based on different optimization directions. With the help of large language model summaries and code capabilities, it helps us to produce optimized suggestions and code. Our tool would enable developers to quickly locate and solve performance problems in software programs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379871369Subjects--Topical Terms:

619355
Software.
Index Terms--Genre/Form:

542853
Electronic books.

AI Empowered Program Performance Analysis.
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020 $a 9798379871369
035 $a (MiAaPQ)AAI30516354
035 $a (MiAaPQ)NCState_Univ18402040904
035 $a AAI30516354
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Liang, Yuchen. $3 3491231
245 1 0 $a AI Empowered Program Performance Analysis.
264 0 $c 2023
300 $a 1 online resource (27 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-01.
500 $a Advisor: Xu, Dongkuan;Jin, Guoliang;Liu, Xu.
502 $a Thesis (M.Sc.)--North Carolina State University, 2023.
504 $a Includes bibliographical references
520 $a As software programs become increasingly complex, identifying and solving performance issues becomes more challenging. Dynamic profiling tools can help identify hotspots and bottlenecks, providing comprehensive and accurate information to developers. However, analyzing and processing the data collected by these tools can be complex and time-consuming. Additionally, diagnosing and optimizing performance problems requires a deep understanding of data structures, algorithms, and memory mechanisms.This thesis proposes a new tool combining multiple metric profiles and providing diagnostic reports and optimization recommendations. The key idea is to develop a rule for discovering the hot spot function, finding whether the problem is in the CPU, memory, or other aspects, and then producing prompts based on different optimization directions. With the help of large language model summaries and code capabilities, it helps us to produce optimized suggestions and code. Our tool would enable developers to quickly locate and solve performance problems in software programs.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Software. $2 gtt. $3 619355
650 4 $a User experience. $3 3543994
650 4 $a Decision trees. $3 827433
650 4 $a Natural language. $3 3562052
650 4 $a Computer science. $3 523869
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0984
690 $a 0800
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a North Carolina State University. $3 1018772
773 0 $t Masters Abstracts International $g 85-01.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30516354 $z click for full text (PQDT)