Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
ÇѱÛÁ¦¸ñ(Korean Title) |
ÇÁ·Î±×·¡¹Ö ¾ð¾îÀÇ ´Ù¿ø¼º°ú »óÈ£¿î¿µ¼ºÀÇ ½ÇÁõÀû ºÐ¼® |
¿µ¹®Á¦¸ñ(English Title) |
An Empirical Study of Diversity and Interoperability of Programming Languages |
ÀúÀÚ(Author) |
ÀåÀçÈñ
¹ÚÀçÈ«
±èÇÑÁÖ
À±¼º·Î
Jaehee Jang
Jaehong Park
Hanjoo Kim
Sungroh Yoon
°íºÀ¼®
À̺´Ã¶
Bongsuk Ko
Byeongcheol Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 05 PP. 0304 ~ 0309 (2017. 05) |
Çѱ۳»¿ë (Korean Abstract) |
µÑ ÀÌ»óÀÇ ÇÁ·Î±×·¡¹Ö ¾ð¾î·Î »óÈ£ ÀÛ¿ëÇÏ´Â ÇÁ·Î±×·¥À» ÀÛ¼ºÇÏ°í »ç¿ëÇÏ´Â °æ¿ì°¡ Áõ°¡ÇÏ°í ÀÖÀ¸³ª ±× ¹«°áÁ¡¼ºÀ» È®º¸Çϱâ´Â ¾î·Æ´Ù. ÇÁ·Î±×·¥ ¿À·ùÀÇ ¿øÀΰú °á°ú°¡ ¼·Î ´Ù¸¥ ¾ð¾îÀÇ ÄÚµå¿Í µ¥ÀÌÅÍ¿¡ Á¸ÀçÇÒ °æ¿ì ¿À·ù Á¦°ÅÀÇ ³À̵µ°¡ ³ô¾ÆÁö°í Java Native Interface(JNI) ¹× Python/C¿Í °°Àº ÇÁ·Î±×·¥ ¾ð¾î ÀÎÅÍÆäÀ̽º¸¦ À߸ø »ç¿ëÇÏ¿© »õ·Î¿î Á¾·ùÀÇ ÇÁ·Î±×·¥ ¿À·ù°¡ ¹ß»ýÇϱ⠶§¹®ÀÌ´Ù. ÇÁ·Î±×·¥ ¾ð¾î»óÈ£ ÀÛ¿ë ¿À·ù¸¦ ÇØ°áÇϱâ À§ÇÑ ÇÁ·Î±×·¥ ºÐ¼® ±â¹ý°ú µµ±¸°¡ È°¹ßÈ÷ ¿¬±¸ °³¹ßµÇ¾úÀ¸³ª À̵éÀ» Æò°¡Çϱâ À§ÇÑ ÇÁ·Î±×·¥ ¾ð¾î, ÇÁ·Î±×·¥ ¾ð¾î ÀÎÅÍÆäÀ̽º ¹× ¿À·ùµéÀÇ ½ÇÀ缺¿¡ ´ëÇÑ °íÂûÀÌ ºÎÁ·ÇÑ »óȲÀÌ´Ù. º» ³í¹®¿¡¼´Â ÀûÁö ¾ÊÀº »ç¿ëÀÚ¸¦ °¡Áö´Â ¿ìºÐÅõ ¼ÒÇÁÆ®¿þ¾î »ýÅÂ°è ³»¿¡¼ ÇÁ·Î±×·¡¹Ö ¾ð¾îÀÇ ´Ù¿ø¼º°ú »óÈ£¿î¿µ¼ºÀ» ½ÇÁõÀûÀ¸·Î Á¶»çÇÏ¿© ´ÙÁß ¾ð¾î ÇÁ·Î±×·¡¹Ö ¿¬±¸ÀÇ ½ÇÀ缺°ú ¿¬±¸ÀÇ Å¸´ç¼ºÀ» ½ÇÁ¦ µ¥ÀÌÅÍ ±â¹ÝÀ¸·Î È®¸³ÇÏ°íÀÚ ÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Programmers use multiple languages to reuse legacy code best suited to their problems. However, it is quite challenging to develop error-free multilingual programs because new types of bugs occur since misunderstanding about language interfaces such as Java Native Interface (JNI) and Python/C. There is a considerable amount of research to overcome multilingual program bugs and errors but these researches have less consideration about substantiality of programming languages, language interfaces, and bugs to evaluate their analyses and tools. In this paper, we have identified and establish substantiality of multilingual programming research with empirical study about diversity and interoperability of programming languages in Ubuntu software ecosystem based on real-world statistical data.
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Å°¿öµå(Keyword) |
µö ·¯´×
½ºÆÄÅ©
Caffe
ºÐ»ê ÄÄÇ»ÆÃ
Ŭ·¯½ºÅÍ ÄÄÇ»ÆÃ
deep learning
Apache Spark
Caffe
parallel computing
cluster computing
ÇÁ·Î±×·¡¹Ö ¾ð¾î
´Ù¿ø¼º
»óÈ£ ¿î¿ë¼º
´ÙÁß ¾ð¾î ÇÁ·Î±×·¥
programming language
diversity
interoperability
multilingual program
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ÆÄÀÏ÷ºÎ |
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