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Extract from the Register of European Patents

EP About this file: EP3816806

EP3816806 - UTILIZING NEURAL NETWORK AND ARTIFICIAL INTELLIGENCE MODELS TO SELECT AND EXECUTE TEST CASES IN A SOFTWARE DEVELOPMENT PLATFORM [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  17.05.2024
Database last updated on 03.08.2024
FormerThe patent has been granted
Status updated on  09.06.2023
FormerGrant of patent is intended
Status updated on  02.02.2023
FormerExamination is in progress
Status updated on  17.12.2021
FormerRequest for examination was made
Status updated on  01.10.2021
FormerThe application has been published
Status updated on  03.04.2021
Most recent event   Tooltip02.08.2024Lapse of the patent in a contracting state
New state(s): BE, SI
published on 04.09.2024 [2024/36]
Applicant(s)For all designated states
Accenture Global Solutions Limited
3 Grand Canal Plaza
Grand Canal Street Upper
Dublin 4 / IE
[2021/18]
Inventor(s)01 / YALLA, Muralidhar
B115, Mahaveer Marvel Apartment
Kodichikkanahalli
560076 Bangalore / IN
02 / VIJENDRA, Anand
3423/A 1st F Cross
R.P.C. Layout Vijayanagar
560040 Bangalore / IN
03 / RAMAKRISHNAN, Venugopal
Accenture
1 Plantation Place
London, EC3M 3BD / GB
 [2021/18]
Representative(s)Müller-Boré & Partner Patentanwälte PartG mbB
Friedenheimer Brücke 21
80639 München / DE
[2021/18]
Application number, filing date20203986.327.10.2020
[2021/18]
Priority number, dateUS20191666725529.10.2019         Original published format: US201916667255
[2021/18]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3816806
Date:05.05.2021
Language:EN
[2021/18]
Type: B1 Patent specification 
No.:EP3816806
Date:12.07.2023
Language:EN
[2023/28]
Search report(s)(Supplementary) European search report - dispatched on:EP01.03.2021
ClassificationIPC:G06N3/126, G06N20/00, G06N5/01, G06F11/36
[2023/08]
CPC:
G06F11/3688 (EP,US); G06F11/3664 (US); G06N20/00 (EP);
G06N3/08 (US); G06N3/126 (EP); G06N5/01 (EP);
G06F11/3684 (EP) (-)
Former IPC [2021/18]G06F11/36, G06N3/08
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2021/44]
Former [2021/18]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
TitleGerman:VERWENDUNG VON NEURONALEN NETZWERK- UND KÜNSTLICHEN INTELLIGENZMODELLEN ZUR AUSWAHL UND AUSFÜHRUNG VON TESTFÄLLEN IN EINER SOFTWARE-ENTWICKLUNGSPLATTFORM[2021/18]
English:UTILIZING NEURAL NETWORK AND ARTIFICIAL INTELLIGENCE MODELS TO SELECT AND EXECUTE TEST CASES IN A SOFTWARE DEVELOPMENT PLATFORM[2021/18]
French:UTILISATION DE MODÈLES DE RÉSEAU NEURAL ET D'INTELLIGENCE ARTIFICIELLE POUR SÉLECTIONNER ET EXÉCUTER DES CAS DE TEST DANS UNE PLATEFORME DE DÉVELOPPEMENT DE LOGICIEL[2021/18]
Examination procedure21.09.2021Amendment by applicant (claims and/or description)
23.09.2021Examination requested  [2021/44]
23.09.2021Date on which the examining division has become responsible
17.12.2021Despatch of a communication from the examining division (Time limit: M04)
22.03.2022Reply to a communication from the examining division
28.06.2022Despatch of a communication from the examining division (Time limit: M04)
07.09.2022Reply to a communication from the examining division
03.02.2023Communication of intention to grant the patent
01.06.2023Fee for grant paid
01.06.2023Fee for publishing/printing paid
01.06.2023Receipt of the translation of the claim(s)
Opposition(s)15.04.2024No opposition filed within time limit [2024/25]
Fees paidRenewal fee
15.09.2022Renewal fee patent year 03
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Lapses during opposition  TooltipAT12.07.2023
CZ12.07.2023
DK12.07.2023
EE12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
IT12.07.2023
LT12.07.2023
LV12.07.2023
MC12.07.2023
NL12.07.2023
PL12.07.2023
RO12.07.2023
RS12.07.2023
SE12.07.2023
SI12.07.2023
SK12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
LU27.10.2023
BE31.10.2023
CH31.10.2023
IS12.11.2023
PT13.11.2023
[2024/36]
Former [2024/34]AT12.07.2023
CZ12.07.2023
DK12.07.2023
EE12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
IT12.07.2023
LT12.07.2023
LV12.07.2023
MC12.07.2023
NL12.07.2023
PL12.07.2023
RO12.07.2023
RS12.07.2023
SE12.07.2023
SK12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
LU27.10.2023
CH31.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/30]AT12.07.2023
CZ12.07.2023
DK12.07.2023
EE12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
IT12.07.2023
LT12.07.2023
LV12.07.2023
MC12.07.2023
NL12.07.2023
PL12.07.2023
RO12.07.2023
RS12.07.2023
SE12.07.2023
SK12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
LU27.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/28]AT12.07.2023
CZ12.07.2023
DK12.07.2023
EE12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
IT12.07.2023
LT12.07.2023
LV12.07.2023
MC12.07.2023
NL12.07.2023
PL12.07.2023
RO12.07.2023
RS12.07.2023
SE12.07.2023
SK12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/26]AT12.07.2023
CZ12.07.2023
DK12.07.2023
EE12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
IT12.07.2023
LT12.07.2023
LV12.07.2023
NL12.07.2023
PL12.07.2023
RO12.07.2023
RS12.07.2023
SE12.07.2023
SK12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/23]AT12.07.2023
CZ12.07.2023
DK12.07.2023
EE12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
LT12.07.2023
LV12.07.2023
NL12.07.2023
PL12.07.2023
RO12.07.2023
RS12.07.2023
SE12.07.2023
SK12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/22]AT12.07.2023
CZ12.07.2023
DK12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
LT12.07.2023
LV12.07.2023
NL12.07.2023
PL12.07.2023
RO12.07.2023
RS12.07.2023
SE12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/20]AT12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
LT12.07.2023
LV12.07.2023
NL12.07.2023
PL12.07.2023
RS12.07.2023
SE12.07.2023
SM12.07.2023
NO12.10.2023
GR13.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/10]AT12.07.2023
ES12.07.2023
FI12.07.2023
HR12.07.2023
LT12.07.2023
LV12.07.2023
NL12.07.2023
PL12.07.2023
RS12.07.2023
SE12.07.2023
NO12.10.2023
GR13.10.2023
IS12.11.2023
PT13.11.2023
Former [2024/09]AT12.07.2023
ES12.07.2023
FI12.07.2023
LT12.07.2023
NL12.07.2023
SE12.07.2023
NO12.10.2023
GR13.10.2023
IS12.11.2023
Former [2024/08]LT12.07.2023
NL12.07.2023
NO12.10.2023
GR13.10.2023
Former [2024/05]NL12.07.2023
Documents cited:Search[I]  - ANDERSON C ET AL, "ON THE USE OF NEURAL NETWORKS TO GUIDE SOFTWARE TESTING ACTIVITIES", PROCEEDINGS OF THE INTERNATIONAL TEST CONFERENCE (ITC). WASHINGTON, OCT. 21 - 25, 1995; [PROCEEDINGS OF THE INTERNATIONAL TEST CONFERENCE (ITC)], NEW YORK, IEEE, US, (19951021), doi:10.1109/TEST.1995.529902, ISBN 978-0-7803-2992-8, pages 720 - 729, XP000552875 [I] 1-15 * abstract * * page 720, column lc, paragraph 1 - page 721, column lc, paragraph 1 * * page 722, left-hand column, section 2.2, paragraph 1 - right-hand column, paragraph 1 * * page 725, column rc, paragraph 1 - page 726, column rc, paragraph 2 *

DOI:   http://dx.doi.org/10.1109/TEST.1995.529902
 [I]  - HELGE SPIEKER ET AL, "Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20181109), doi:10.1145/3092703.3092709, XP081048480 [I] 1-15 * abstract * * page 1, column rc, paragraph 1 - page 2, column rc, paragraph 2 * * page 6, left-hand column, section 4.2 paragraph 1 - page 7, paragraph 3 *

DOI:   http://dx.doi.org/10.1145/3092703.3092709
 [A]  - Anonymous, "Artificial neural network", (20191028), pages 1 - 13, URL: https://en.wikipedia.org/w/index.php?title=Artificial_neural_network&oldid=923454359, (20210218), XP055777313 [A] 1-15 * the whole document *
 [A]  - Anonymous, "Dynamic program analysis", (20191016), pages 1 - 2, URL: https://en.wikipedia.org/w/index.php?title=Dynamic_program_analysis&oldid=921483059, (20210218), XP055777316 [A] 1-15 * the whole document *
 [A]  - Anonymous, "Execution model", (20190908), pages 1 - 2, URL: https://en.wikipedia.org/w/index.php?title=Execution_model&oldid=914580876, (20210217), XP055776941 [A] 1-15 * the whole document *
Examination   - Voges Udo ET AL, "SADAT-An Automated Testing Tool", ACM Sigplan Notices Information Proc. Lett. IEEE Trans. Comput. IEEE Trans. Software Eng. Software-Practice and Experience J. C. Huang ACM Computing Surveys, (19800503), pages 457 - 463, URL: https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=1702730&ref=aHR0cHM6Ly9pZWVleHBsb3JlLmllZWUub3JnL2Fic3RyYWN0L2RvY3VtZW50LzE3MDI3MzA=, (20230112), XP093013465
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.