Adaptive fuzzy logic based framework for handling imprecision and uncertainty in software development effort prediction models
| dc.contributor.author | Syed Zeeshan Muzaffar | |
| dc.date | 2006 | |
| dc.date.accessioned | 2022-05-18T04:03:14Z | |
| dc.date.available | 2022-05-18T04:03:14Z | |
| dc.degree.department | College of Computer Science and Engineering | |
| dc.degree.grantor | King Fahad for Petrolem University | |
| dc.description.abstract | اﻟﺘﻨﺒﺆ ﻋﻦ ﻣﻨ ﺗﻄﻮﻳﺮ اﻟﺒﺮﻣﺠﻴﺎت ﺬ اﻟﺒﺪ ﻳﻤﺜﻞ اﻳﺔ ﻣﻬﻤﻪ ﺻﻌﺒﻪ ﻻﻧﻪ ﻟﻴﺲ ﻟﺪﻳﻨﺎ ﻣﻌﻠﻮﻣﺎت ﻋﻦ اﻟﺒﺮﻣﺠﻴﺎت اﻟﻤﺘﺎﺣﻪ ﻓﻲ ذﻟﻚ اﻟﻮﻗﺖ .ﻧﺎﻗﺼﻪ اﻟﺘﻘﺪﻳﺮات اﻟﻤﺒﻜﺮﻩ ﻋﺎدﻩ ,وﺗ ﺘ ﻄﻮر ﻣﻦ ﺧﻼل اﻟﺘﻜﺮا ر ﺑ اﻟﻌ ﻤﺨﺘﻠﻒ اﻧﺸﻄﻪ اﻟﺒﺮاﻣﺞ ﺎﻣﺔ . ، ﻋﻼوﻩ ﻋﻠﻲ ذﻟﻚ ﻓﺎن اﻟﻤﻌﻠﻮﻣﺎت اﻟﺘﻲ ﺗﻢ ﺟﻤﻌﻬﺎ ﻣﻦ ﻣﺨﺘﻠﻒ اﻟﺒﺮاﻣﺞ ﻣﻌﻠﻮﻣﺔ ﻏﻴﺮ اﻟﻤﺼﺎدر وﻋﺎدة ﺗﻜﻮن ﻣﺘﺼﻔﺔ ﺑﺎ اﻟﻴﻘﻴﻦ ﻟﻐﻤﻮض وﻋﺪم . اﻟﻐﻤﻮض ﻳ ﻨﺸﺎ ﻋﻨﺪﻣﺎ ﻳﻜﻮن هﻨﺎك ﺧﺒﻴﺮ ﻳﻌﺮف ﺑ ﺒﻌﺾ اﻟﻤﻌﺎﻳﻴﺮ اﻟﻨﻮﻋﻴﻪ ﻟﻠﺘﻔﺮﻳﻖ ﺑﻴﻦ ﺑﺮﻣﺠﻴﻴﻦ أي ﻗﺴﻤﻴﻦ اآﺜﺮ او . وآﺬﻟﻚ ﻟﻮ ﻋﺪم اﻟﺘﺄآﺪ ﻳﻈﻬﺮ ﻣﻴﺰ ﺟﻮد اآﺜﺮ ﻣﻦ ة ﺧﺎﺻﻪ ﻗﺴﻢ ﻟﻜﻞ ﻓﻤﺜﻼ اﻟﺤﺠﻢ ﺑ اﻟﺨﺒﺮاء ، ﺴﺒﺐ ﺗﻨﺎﻗﺾ اراء ﺣﻮﻟﻪ ﻳﺆدي هﺬا اﻟﺸﻚ اﻟﻲ اﻟﺸﻚ ﻓﻲ اﻟﺠﻬﺪ اﻟﻤﺒﺬول اﻟﺒﺮاﻣﺞ ﻋﻠﻰ .هﺬ اﻻ ﻩ ﻃﺮو ﺣﻪ .و Type-2 FLS-Based ﺗﻤﺜﻞ هﺬا اﻟﻨﻮع ﻣﻦ اﻟﺒﺮﻣﺠﻴﺎت ﻗﺎدر ﻋﻠﻰ ﺣﻞ ﻣﺸﻜﻠﺔ اﻟﻐﻤﻮض وﻋﺪم اﻟﺪﻗﺔ . ﻓﺎن اﻟﺪراﺳﺎت اﻟﺘﺠﺮﻳﺒﻴﻪ ﺣﻮل ﺗﺎﺛﻴﺮ ، وﺑﺎﻻﺿﺎﻓﻪ اﻟﻲ ذﻟﻚ اﻧﺘﻬﺖ .ﺗﻌﺮف Type-2 FLS-Based ﻣﺨﺘﻠﻒ ﻣﻌﺎﻟﻢ ﻧﻈﺎم وهﺬﻩ اﻻﻃﺮوﺣﺔ ﻣﺠﻤﻮﻋﻪ ﻣﻦ اﻟﺼﻔﺎت اﻟﺘﻲ ﻳﻤﻜﻦ ان ﺗﻌ اﻟﻤﺴﺎ ﻄﻲ دﻻﻟﻪ ﻋﻠﻲ ﻣﺼﺪاﻗﻴﻪ ﺣﺠﻢ اﻟﺒﺮﻣﺠﻴﺔ ﺣﺔ اﻟﺤﺎﻟﻴﻪ .اﻟﺨﺼ وﺗﺴﺘﺨﺪم هﺬﻩ ﺎﺋ ﺺ ﻋﻠﻲ ﺑﻌﺾ اﻟﺒﺮاﻣﺞ اﻟﻤﻮﺟﻮدﻩ ﻟﺘﻘﻴﻴﻢ ﺣﺠﻢ اﻟﺒﺮﻧﺎﻣﺞ. | |
| dc.identifier.other | 4492 | |
| dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/549 | |
| dc.language.iso | en | |
| dc.publisher | Saudi Digital Library | |
| dc.thesis.level | Master | |
| dc.thesis.source | King Fahad for Petrolem University | |
| dc.title | Adaptive fuzzy logic based framework for handling imprecision and uncertainty in software development effort prediction models | |
| dc.type | Thesis |