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ÇѱÛÁ¦¸ñ(Korean Title) |
Àΰø½Å°æ¸Á ±â¹ÝÀÇ ¼ÒÇÁÆ®¿þ¾î °³¹ß ÇÁ·Î¼¼½º Å×ÀÏ·¯¸µ ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
A Process Tailoring Method Based on Artificial Neural Network |
ÀúÀÚ(Author) |
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¿ø¹®¼ö·Ïó(Citation) |
VOL 33 NO. 02 PP. 0201 ~ 0219 (2006. 02) |
Çѱ۳»¿ë (Korean Abstract) |
³ôÀº ¼ÒÇÁÆ®¿þ¾îÀÇ Ç°ÁúÀº À¯ÁöÇϸé¼, ÃÖ¼ÒÇÑÀÇ ºñ¿ëÀ¸·Î ¼ÒÇÁÆ®¿þ¾î¸¦ °³¹ßÇϱâ À§Çؼ´Â ¼ÒÇÁÆ®¿þ¾î °³¹ß ÇÁ·ÎÁ§Æ®ÀÇ »óȲ¿¡ ¾Ë¸ÂÀº ÇÁ·Î¼¼½º¸¦ Àû¿ëÇÏ´Â °ÍÀÌ Áß¿äÇÏ´Ù. ÀϹÝÀûÀ¸·Î »ó¿ë ÇÁ·Î¼¼½º³ª Á¶Á÷ÀÇ Ç¥ÁØ ÇÁ·Î¼¼½º¸¦ ÇÁ·ÎÁ§Æ®ÆÀ¿¡ Àû¿ëÇÏ°í ÀÖÀ¸³ª, ´ëºÎºÐÀÇ °æ¿ì, °æÇèºÎÁ·À̳ª ÀηºÎÁ· µîÀÇ ÀÌÀ¯·Î ÀϹÝÀûÀÎ ÇÁ·Î¼¼½º¸¦ ¾î¶² °¡°¨µµ ¾øÀÌ ±×´ë·Î Àû¿ëÇÔÀ¸·Î½á ¿ÀÈ÷·Á ¼ÒÇÁÆ®¿þ¾î °³¹ß¿¡ ÀÖ¾î¼ ¿À¹öÇìµå¸¦ ÃÊ·¡ÇÏ°í ÀÖ´Ù. ÇÁ·Î¼¼½º Å×ÀÏ·¯¸µ ÀÛ¾÷À» ¼öÇàÇÏ´Â °æ¿ì¿¡µµ, ´ëºÎºÐÀÇ Å×ÀÏ·¯¸µ ÀÛ¾÷Àº ¸î¸î ÇÁ·Î¼¼½º ¿£Áö´Ï¾îÀÇ °æÇè¿¡ ÀÇÁ¸ÇÏ´Â ½ÇÁ¤ÀÌ´Ù. ÀÌ·± °æ¿ì, Å×ÀÏ·¯¸µ °á°ú·Î¼ÀÇ ÇÁ·Î¼¼½º´Â ¾òÀ» ¼ö ÀÖÀ¸³ª Ÿ´çÇÑ ±Ù°Å¸¦ Á¦½ÃÇϱâ Èûµé°í, ¸¹Àº ½Ã°£À» ¿äÇÑ´Ù. µû¶ó¼ º» ³í¹®¿¡¼´Â Àΰø½Å°æ¸Á ±â¹ÝÀÇ ÇнÀÀÌ·ÐÀ» ÇÁ·Î¼¼½º Å×ÀÏ·¯¸µ¿¡ Àû¿ëÇÔÀ¸·Î½á Å×ÀÏ·¯¸µ ÀÛ¾÷ Áß¿¡¼µµ ¸¹Àº ½Ã°£À» ÇÊ¿ä·Î ÇÏ´Â ÇÁ·Î¼¼½º ÇÊÅ͸µ ÀÛ¾÷À» ÀÚµ¿ÈÇÏ´Â ¹æ¾ÈÀ» ¼Ò°³ÇÏ°í ÀÖ´Ù. »Ó¸¸ ¾Æ´Ï¶ó ÇÊÅ͸µµÈ ÇÁ·Î¼¼½º¸¦ À籸¼ºÇÏ¿© ±× °á°ú ¾ò¾îÁö´Â ÇÁ·ÎÁ§Æ® »óȲ¿¡ ÀûÇÕÇÏ°Ô Å×ÀÏ·¯¸µµÈ ÇÁ·Î¼¼½º¸¦ ½ÇÁ¦ ÇÁ·ÎÁ§Æ®¿¡ Àû¿ëÇÑ ÈÄ ¾òÀ» ¼ö ÀÖ´Â Çǵå¹é ÀڷḦ ÇнÀÀÇ ÀÚ·á·Î ´Ù½Ã »ç¿ëÇÔÀ¸·Î½á, Àΰø½Å°æ¸ÁÀÇ Á¤È®µµ¸¦ ³ô¿©³ª°¡´Â ¹æ¹ý±îÁö¸¦ Á¦½ÃÇÏ°í ÀÖ´Ù. º» ³í¹®¿¡¼´Â ÀÌ·¸°Ô Á¦½ÃÇÑ ¼ÒÇÁÆ®¿þ¾î °³¹ß ÇÁ·Î¼¼½ºÀÇ Å×ÀÏ·¯¸µ ¹æ¹ýÀÇ ½ÇÈ¿¼ºÀ» ÃæºÐÇÑ »ùÇÃÀڷḦ ¹ÙÅÁÀ¸·Î ÇÑ ½ÇÁúÀûÀÎ Àû¿ë·Ê¸¦ ÅëÇØ ÀÔÁõÇÏ°í ÀÖ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
The key to developing software with the lowest cost and highest quality is to implement or fit the software development process into a given environment. Generally, applying commercial or standard software development processes on a specific project can cause too much overhead if there is no effort to customize the given generic processes. Even though the customizing activities are done before starting the project, these activities are thoroughly dependent on the process engineers who have abundant experience and knowledge with tailoring processes. Owing to this dependence on human knowledge, it has been very difficult to explain the rationale for the results of process tailoring and it takes a long time to get the customized process that is applicable. Hence, we suggest a process tailoring method which adopts the artificial neural network based learning theory to reduce the time consumed by process tailoring. Furthermore, we suggest the feedback loop mechanism to get higher accuracy in the neural network designed for the process tailoring. It can be done by reusing the process tailoring data results and determining its appropriateness level as sample data to the neural network. We proved the effectiveness of our process tailoring method through case studies using real historical data, which yielded abundant process tailoring results as sample data. |
Å°¿öµå(Keyword) |
ÇÁ·Î¼¼½º Å×ÀÏ·¯¸µ
Process Tailoring
ŽºÅ© ÄÄÆ÷³ÍÆ®
Task Component
Àΰø½Å°æ¸Á
Artificial Neural Network
ÇÁ·Î¼¼½º ÇÊÅ͸µ
Process Filtering
ÇÁ·Î¼¼½º À籸¼º
Process Reconfiguration
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