Determining Software Time-to-Market and Testing Stop Time when Release Time is a Change-Point Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.33889/ijmems.2020.5.2.017
In software engineering literature, numerous software reliability growth models have been designed to evaluate and predict the reliability of the software products and to measure the optimal time-to-market of the software systems. Most existing studies on software release time assessment assumes that when software is released, its testing process is terminated. In practice, however, the testing team releases the software product first and continues the testing process for an added period in the operational phase. Therefore, in this study, a coherent reliability growth model is developed to predict the expected reliability of the software product. The debugging process is considered imperfect as new faults can be introduced into the software during each fault removal. The proposed model assumes that the fault observation rate of the testing team modifies after the software release. The release time of the software is therefore regarded as the change-point. It has been established that the veracity of the performance of the growth models escalates by incorporating the change-point theory. A unified approach is utilized to model the debugging process wherein both testers and users simultaneously identify the faults in the post-release testing phase. A joint optimization problem is formulated based on the two decision criteria: cost and reliability. In order to assimilate the manager’s preferences over these two criteria, a multi-criteria decision-making technique known as multi-attribute utility theory is employed. A numerical illustration is further presented by using actual data sets from the software project to determine the optimal software time-to-market and testing termination time.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.33889/ijmems.2020.5.2.017
- https://doi.org/10.33889/ijmems.2020.5.2.017
- OA Status
- gold
- Cited By
- 8
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3003372974
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3003372974Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.33889/ijmems.2020.5.2.017Digital Object Identifier
- Title
-
Determining Software Time-to-Market and Testing Stop Time when Release Time is a Change-PointWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-29Full publication date if available
- Authors
-
Ompal Singh, Saurabh Panwar, P. K. KapurList of authors in order
- Landing page
-
https://doi.org/10.33889/ijmems.2020.5.2.017Publisher landing page
- PDF URL
-
https://doi.org/10.33889/ijmems.2020.5.2.017Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.33889/ijmems.2020.5.2.017Direct OA link when available
- Concepts
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Software reliability testing, Computer science, Reliability engineering, Software quality, Software sizing, Software development, Verification and validation, Software construction, Software metric, Software release life cycle, Software, Engineering, Operations management, Operating systemTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 2, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 14, 22, 62, 177, 201, 246 |
| abstract_inverted_index.can | 104 |
| abstract_inverted_index.for | 67 |
| abstract_inverted_index.has | 145 |
| abstract_inverted_index.its | 46 |
| abstract_inverted_index.new | 102 |
| abstract_inverted_index.the | 16, 19, 25, 29, 54, 58, 64, 72, 88, 92, 108, 119, 124, 129, 136, 142, 149, 152, 155, 161, 171, 181, 184, 196, 207, 237, 242 |
| abstract_inverted_index.two | 197, 212 |
| abstract_inverted_index.Most | 32 |
| abstract_inverted_index.been | 10, 146 |
| abstract_inverted_index.both | 175 |
| abstract_inverted_index.cost | 200 |
| abstract_inverted_index.data | 234 |
| abstract_inverted_index.each | 111 |
| abstract_inverted_index.from | 236 |
| abstract_inverted_index.have | 9 |
| abstract_inverted_index.into | 107 |
| abstract_inverted_index.over | 210 |
| abstract_inverted_index.rate | 122 |
| abstract_inverted_index.sets | 235 |
| abstract_inverted_index.team | 56, 126 |
| abstract_inverted_index.that | 41, 118, 148 |
| abstract_inverted_index.this | 77 |
| abstract_inverted_index.time | 38, 134 |
| abstract_inverted_index.when | 42 |
| abstract_inverted_index.added | 69 |
| abstract_inverted_index.after | 128 |
| abstract_inverted_index.based | 194 |
| abstract_inverted_index.fault | 112, 120 |
| abstract_inverted_index.first | 61 |
| abstract_inverted_index.joint | 189 |
| abstract_inverted_index.known | 218 |
| abstract_inverted_index.model | 83, 116, 170 |
| abstract_inverted_index.order | 204 |
| abstract_inverted_index.these | 211 |
| abstract_inverted_index.time. | 249 |
| abstract_inverted_index.users | 178 |
| abstract_inverted_index.using | 232 |
| abstract_inverted_index.actual | 233 |
| abstract_inverted_index.during | 110 |
| abstract_inverted_index.faults | 103, 182 |
| abstract_inverted_index.growth | 7, 82, 156 |
| abstract_inverted_index.models | 8, 157 |
| abstract_inverted_index.period | 70 |
| abstract_inverted_index.phase. | 74, 187 |
| abstract_inverted_index.study, | 78 |
| abstract_inverted_index.theory | 222 |
| abstract_inverted_index.assumes | 40, 117 |
| abstract_inverted_index.further | 229 |
| abstract_inverted_index.measure | 24 |
| abstract_inverted_index.optimal | 26, 243 |
| abstract_inverted_index.predict | 15, 87 |
| abstract_inverted_index.problem | 191 |
| abstract_inverted_index.process | 48, 66, 97, 173 |
| abstract_inverted_index.product | 60 |
| abstract_inverted_index.project | 239 |
| abstract_inverted_index.release | 37, 133 |
| abstract_inverted_index.studies | 34 |
| abstract_inverted_index.testers | 176 |
| abstract_inverted_index.testing | 47, 55, 65, 125, 186, 247 |
| abstract_inverted_index.theory. | 163 |
| abstract_inverted_index.unified | 165 |
| abstract_inverted_index.utility | 221 |
| abstract_inverted_index.wherein | 174 |
| abstract_inverted_index.approach | 166 |
| abstract_inverted_index.coherent | 80 |
| abstract_inverted_index.decision | 198 |
| abstract_inverted_index.designed | 11 |
| abstract_inverted_index.evaluate | 13 |
| abstract_inverted_index.existing | 33 |
| abstract_inverted_index.expected | 89 |
| abstract_inverted_index.however, | 53 |
| abstract_inverted_index.identify | 180 |
| abstract_inverted_index.modifies | 127 |
| abstract_inverted_index.numerous | 4 |
| abstract_inverted_index.product. | 94 |
| abstract_inverted_index.products | 21 |
| abstract_inverted_index.proposed | 115 |
| abstract_inverted_index.regarded | 140 |
| abstract_inverted_index.release. | 131 |
| abstract_inverted_index.releases | 57 |
| abstract_inverted_index.removal. | 113 |
| abstract_inverted_index.software | 1, 5, 20, 30, 36, 43, 59, 93, 109, 130, 137, 238, 244 |
| abstract_inverted_index.systems. | 31 |
| abstract_inverted_index.utilized | 168 |
| abstract_inverted_index.veracity | 150 |
| abstract_inverted_index.continues | 63 |
| abstract_inverted_index.criteria, | 213 |
| abstract_inverted_index.criteria: | 199 |
| abstract_inverted_index.debugging | 96, 172 |
| abstract_inverted_index.determine | 241 |
| abstract_inverted_index.developed | 85 |
| abstract_inverted_index.employed. | 224 |
| abstract_inverted_index.escalates | 158 |
| abstract_inverted_index.imperfect | 100 |
| abstract_inverted_index.numerical | 226 |
| abstract_inverted_index.practice, | 52 |
| abstract_inverted_index.presented | 230 |
| abstract_inverted_index.released, | 45 |
| abstract_inverted_index.technique | 217 |
| abstract_inverted_index.therefore | 139 |
| abstract_inverted_index.Therefore, | 75 |
| abstract_inverted_index.assessment | 39 |
| abstract_inverted_index.assimilate | 206 |
| abstract_inverted_index.considered | 99 |
| abstract_inverted_index.formulated | 193 |
| abstract_inverted_index.introduced | 106 |
| abstract_inverted_index.engineering | 2 |
| abstract_inverted_index.established | 147 |
| abstract_inverted_index.literature, | 3 |
| abstract_inverted_index.manager’s | 208 |
| abstract_inverted_index.observation | 121 |
| abstract_inverted_index.operational | 73 |
| abstract_inverted_index.performance | 153 |
| abstract_inverted_index.preferences | 209 |
| abstract_inverted_index.reliability | 6, 17, 81, 90 |
| abstract_inverted_index.terminated. | 50 |
| abstract_inverted_index.termination | 248 |
| abstract_inverted_index.change-point | 162 |
| abstract_inverted_index.illustration | 227 |
| abstract_inverted_index.optimization | 190 |
| abstract_inverted_index.post-release | 185 |
| abstract_inverted_index.reliability. | 202 |
| abstract_inverted_index.change-point. | 143 |
| abstract_inverted_index.incorporating | 160 |
| abstract_inverted_index.multi-criteria | 215 |
| abstract_inverted_index.simultaneously | 179 |
| abstract_inverted_index.time-to-market | 27, 245 |
| abstract_inverted_index.decision-making | 216 |
| abstract_inverted_index.multi-attribute | 220 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.82158069 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |