I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Language-agnostic Framework for Mining Static Analysis Ru..:
, In:
2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
,
Effendi, Sedick David Baker
;
Cirisci, Berk
;
Mukherjee, Rajdeep
.. - p. 327-339 , 2023
Link:
https://doi.org/10.1109/ICSE-SEIP58684.2023.00035
RT T1
2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
: T1
A Language-agnostic Framework for Mining Static Analysis Rules from Code Changes
UL https://suche.suub.uni-bremen.de/peid=ieee-10172858&Exemplar=1&LAN=DE A1 Effendi, Sedick David Baker A1 Cirisci, Berk A1 Mukherjee, Rajdeep A1 Nguyen, Hoan Anh A1 Tripp, Omer YR 2023 SN 2832-7659 K1 Java K1 Codes K1 Semantics K1 Static analysis K1 Libraries K1 Software K1 Data mining K1 static analysis K1 mining software repository K1 program synthesis K1 coding best practices K1 clustering SP 327 OP 339 LK http://dx.doi.org/https://doi.org/10.1109/ICSE-SEIP58684.2023.00035 DO https://doi.org/10.1109/ICSE-SEIP58684.2023.00035 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)