Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
3027 | 2499 | 22.6 | 32% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | SOFTWARE RELIABILITY | authKW | 2258843 | 11% | 66% | 280 |
2 | SOFTWARE RELIABILITY GROWTH MODEL | authKW | 579559 | 2% | 91% | 52 |
3 | RELIABILITY GROWTH | authKW | 549871 | 3% | 70% | 64 |
4 | IMPERFECT DEBUGGING | authKW | 404485 | 1% | 95% | 35 |
5 | SOFTWARE AGING | authKW | 379102 | 1% | 97% | 32 |
6 | SOFTWARE REJUVENATION | authKW | 363581 | 1% | 80% | 37 |
7 | SOFTWARE RELIABILITY MODEL | authKW | 338111 | 1% | 86% | 32 |
8 | SOFTWARE FAULT TOLERANCE | authKW | 310440 | 1% | 71% | 36 |
9 | RELIABILITY GROWTH MODEL | authKW | 299315 | 1% | 88% | 28 |
10 | NON HOMOGENEOUS POISSON PROCESS NHPP | authKW | 277682 | 1% | 78% | 29 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Software Engineering | 82179 | 42% | 1% | 1046 |
2 | Computer Science, Hardware & Architecture | 35404 | 21% | 1% | 532 |
3 | Computer Science, Theory & Methods | 12562 | 20% | 0% | 497 |
4 | Operations Research & Management Science | 6854 | 12% | 0% | 305 |
5 | Engineering, Industrial | 6642 | 9% | 0% | 228 |
6 | Engineering, Electrical & Electronic | 5624 | 29% | 0% | 727 |
7 | Computer Science, Information Systems | 3243 | 10% | 0% | 246 |
8 | Statistics & Probability | 2317 | 8% | 0% | 197 |
9 | Engineering, General | 1378 | 6% | 0% | 153 |
10 | COMPUTER APPLICATIONS & CYBERNETICS | 765 | 1% | 0% | 13 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | SOCIAL SYST ENGN | 114611 | 1% | 45% | 21 |
2 | SOFTWARE RELIABIL | 106592 | 1% | 36% | 24 |
3 | SOCIAL MANAGEMENT ENGN | 54974 | 0% | 75% | 6 |
4 | STAT RELIABIL | 49881 | 0% | 58% | 7 |
5 | SAFETY SYST | 36646 | 0% | 50% | 6 |
6 | HIGH PERFORMANCE COMP MODERNIZAT PROGRAM | 27761 | 0% | 45% | 5 |
7 | AMITY INT BUSINESS | 24434 | 0% | 100% | 2 |
8 | CRITIWARE SPIN OFF | 24434 | 0% | 100% | 2 |
9 | DUKE HIGH AVAI IL ASSURANCE | 24434 | 0% | 100% | 2 |
10 | INNOVAT IND SUPPORT | 24434 | 0% | 100% | 2 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | IEEE TRANSACTIONS ON RELIABILITY | 209252 | 9% | 8% | 228 |
2 | IEEE TRANSACTIONS ON SOFTWARE ENGINEERING | 101338 | 6% | 5% | 154 |
3 | JOURNAL OF SYSTEMS AND SOFTWARE | 46986 | 5% | 3% | 118 |
4 | PROCEEDINGS : ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM | 41040 | 2% | 9% | 39 |
5 | PROCEEDINGS ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM | 36634 | 1% | 10% | 31 |
6 | RELIABILITY ENGINEERING & SYSTEM SAFETY | 23397 | 4% | 2% | 90 |
7 | COMPUTING IN SCIENCE & ENGINEERING | 22813 | 2% | 5% | 40 |
8 | IEEE SOFTWARE | 19622 | 2% | 3% | 52 |
9 | MICROELECTRONICS AND RELIABILITY | 10831 | 1% | 3% | 31 |
10 | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 10132 | 1% | 2% | 37 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | PENG, R , LI, YF , ZHANG, WJ , HU, QP , (2014) TESTING EFFORT DEPENDENT SOFTWARE RELIABILITY MODEL FOR IMPERFECT DEBUGGING PROCESS CONSIDERING BOTH DETECTION AND CORRECTION.RELIABILITY ENGINEERING & SYSTEM SAFETY. VOL. 126. ISSUE . P. 37-43 | 30 | 97% | 16 |
2 | GARG, M , LAI, R , HUANG, SJ , (2011) WHEN TO STOP TESTING: A STUDY FROM THE PERSPECTIVE OF SOFTWARE RELIABILITY MODELS.IET SOFTWARE. VOL. 5. ISSUE 3. P. 263 -273 | 35 | 90% | 6 |
3 | YANG, JF , LIU, Y , XIE, M , ZHAO, M , (2016) MODELING AND ANALYSIS OF RELIABILITY OF MULTI-RELEASE OPEN SOURCE SOFTWARE INCORPORATING BOTH FAULT DETECTION AND CORRECTION PROCESSES.JOURNAL OF SYSTEMS AND SOFTWARE. VOL. 115. ISSUE . P. 102 -110 | 26 | 100% | 0 |
4 | WANG, JY , WU, ZB , SHU, YJ , ZHANG, Z , (2016) AN OPTIMIZED METHOD FOR SOFTWARE RELIABILITY MODEL BASED ON NONHOMOGENEOUS POISSON PROCESS.APPLIED MATHEMATICAL MODELLING. VOL. 40. ISSUE 13-14. P. 6324 -6339 | 26 | 100% | 0 |
5 | YAZDANBAKHSH, O , DICK, S , REAY, I , MACE, E , (2016) ON DETERMINISTIC CHAOS IN SOFTWARE RELIABILITY GROWTH MODELS.APPLIED SOFT COMPUTING. VOL. 49. ISSUE . P. 1256 -1269 | 34 | 74% | 0 |
6 | LI, F , YI, ZL , (2016) A NEW SOFTWARE RELIABILITY GROWTH MODEL: MULTIGENERATION FAULTS AND A POWER-LAW TESTING-EFFORT FUNCTION.MATHEMATICAL PROBLEMS IN ENGINEERING. VOL. . ISSUE . P. - | 24 | 100% | 0 |
7 | YANG, B , HU, YM , HUANG, CY , (2015) AN ARCHITECTURE-BASED MULTI-OBJECTIVE OPTIMIZATION APPROACH TO TESTING RESOURCE ALLOCATION.IEEE TRANSACTIONS ON RELIABILITY. VOL. 64. ISSUE 1. P. 497 -515 | 33 | 70% | 0 |
8 | XIE, M , HU, QP , WU, YP , NG, SH , (2007) A STUDY OF THE MODELING AND ANALYSIS OF SOFTWARE FAULT-DETECTION AND FAULT-CORRECTION PROCESSES.QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL. VOL. 23. ISSUE 4. P. 459 -470 | 28 | 97% | 13 |
9 | LI, QY , LI, HF , LU, MY , (2015) INCORPORATING S-SHAPED TESTING-EFFORT FUNCTIONS INTO NHPP SOFTWARE RELIABILITY MODEL WITH IMPERFECT DEBUGGING.JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS. VOL. 26. ISSUE 1. P. 190 -207 | 22 | 100% | 2 |
10 | PARK, J , BAIK, J , (2015) IMPROVING SOFTWARE RELIABILITY PREDICTION THROUGH MULTI-CRITERIA BASED DYNAMIC MODEL SELECTION AND COMBINATION.JOURNAL OF SYSTEMS AND SOFTWARE. VOL. 101. ISSUE . P. 236 -244 | 25 | 86% | 3 |
Classes with closest relation at Level 2 |