Objective C 및 HTML5에 대한 적정한 SW사업 대가의 언어 보정계수에 관한 연구 = A study on appropriate language correction factor of "The guide of software cost estimation" about objective C and HTML5

다국어 초록 (Multilingual Abstract)

Objective C and HTML5 are widely used for developing App. programs for smart phones and Web programs, but actually there are no appropriate Language Correction Factors on these. For appropriate Language Correction Factors on these, there have been two studies in this paper. The one was a study based on an expert survey and the other was a study based on real data related Function Point from SW projects.
In the first study based on an expert survey, through the selection method of Language Category and the selection method of Language Correction Factor’s value, some appropriate Language Correction Factors were selected. And in the second study based on real data, data related Function Point were collected from finished SW projects with these languages and then Man-Month Function Point and Correction Function Point were compared and verified by some criteria like MMRE, MdMRE and PRED.

The results of “the study based on an expert survey” and “the study based on real data” were assessed holistically. Language Correction Factor’s value “0.8” was evaluated through all criteria as the best appropriate Language Correction Factors on Objective C and HTML5.

This result will be able to be appropriately guiding and preventing confusion where estimating Function Point and Cost Estimation related Objective C and HTML5 projects and be used as objective data for amending “The Guide of Software Cost Estimation”.

According to “the study based on an expert survey”, 90% of experts answered for amending Language Correction Factors due to the rapid change of technology environment. Future research will be focused on it.

목차 (Table of Contents)

• 1. 서론 1
• 2. 기능점수 방식의 SW사업 대가 산정 방법 7
• 2.1. 기능점수 산정 절차 7
• 2.2. 보정계수 산정 절차 16
• 2.3. SW개발비 산정 절차 25
• 2.4. 기존 연구 28
• 3. 연구 방법 29
• 3.1. 설문조사를 통한 연구 방법 29
• 3.1.1. 연구 절차 30
• 3.1.2. 설문조사 양식 31
• 3.1.3. 적정한 언어 보정계수 선별 35
• 3.2. 실 데이터 기반으로 한 연구 방법 39
• 3.2.1. 연구 절차 39
• 3.2.2. 데이터 수집 및 기능점수 산정 40
• 3.3. SW사업 현황 42
• 4. 연구 결과 및 분석 45
• 4.1. 설문조사를 통한 연구의 결과 분석 45
• 4.1.1. 기본사항 46
• 4.1.2. Objective C 언어 보정계수 선별 결과 49
• 4.1.3. HTML5 언어 보정계수 선별 결과 54
• 4.1.4. 언어 보정계수 개정의 필요성 조사 결과 57
• 4.2. 실 데이터 기반으로 한 연구의 결과 분석 58
• 4.2.1. 비교검증 평가척도 및 절차 58
• 4.2.2. Objective C 언어 보정계수 선정 결과 62
• 4.2.3. HTML5 언어 보정계수 선정 결과 71
• 4.3. 종합 결과 77
• 5. 결론 및 향후 연구 78
• 참고 문헌 80
• 부록 84
• Abstract 94