Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 76-83.
• Review • Previous Articles Next Articles
ZHAO Xiao-min, FEI Meng-yu, CAO Guang-bin, ZHU Li-nan
CLC Number:
[1]RONALD J.Software cost estimation[J].Information & Software Technology,1992,34(92):627-639. [2]KEMERER C F.An empirical validation of software cost estimation models[M].ACM,1987:416-429. [3]SYMONS C R.Function Point Analysis:Difficulties and Im-provements[J].IEEE Transactions on Software Engineering,1988,14(1):2-11. [4]软件研发成本度量规范:SJ/T 11463-2013[S].北京:中华人民共和国工业和信息化部,2013. [5]政府投资应用软件开发项目价格评估及计算方法:DB44/T 635-2009[S].广东:广东省质量技术监督局,2009. [6]信息化项目软件开发费用测算规范:DB11/T 1010-2013[S].北京:北京市质量技术监督局,2013. [7]中国软件行业基准数据:CSBMK-201710[S].北京:工业和信息化部电子工业标准化研究院,2017. [8]KARNER G.Resource estimation for objectory projects[J].Objective Systems SF AB,1993,9:1-9. [9]HEIAT A,COMPARISO KUMAR K V,RAVI V,et al.Soft-ware development cost estimation using wavelet neural networks[J].Journal of Systems and Software,2008,81(11):1853-1867. [10]WEN J,LI S,LIN Z,et al.Systematic literature review of machine learning based software development effort estimation models[J].Information & Software Technology,2012,54(1):41-59. [11]KUMAR G,BHATIA P K.Empirical Assessment and Optimization of Software Cost Estimation Using Soft Computing Techniques[M]∥Advanced Computing and Communication Technologies.Singapore:Springer,2016. [12]SEHRA S K,BRAR Y S,KAUR N,et al.Research Patterns and Trends in Software Effort Estimation[J].Information & Software Technology,2017,91:1-21. [13]IDRI A,HOSNI M,ABRAN A.Systematic literature review of ensemble effort estimation[M].Elsevier Science Inc,2016:151-175. [14]USMAN M,MENDES E.Effort estimation in agile software development:a survey on the state of the practice[C]∥International Conference on Evaluation and Assessment in Software Engineering.ACM,2015:12. [15]WU H,SHI L,CHEN C,et al.Maintenance Effort Estimation for Open Source Software:A Systematic Literature Review[C]∥IEEE International Conference on Software Maintenance and Evolution.IEEE,2017:32-43. [16]TAN C H,YAP K S,YAP H J.Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach[J].Applied Soft Computing,2012,12(8):2168-2177. [17]BOEHM B,CLARK B,HOROWITZ E,et al.Cost models for future software life cycle processes:COCOMO2.0[J].Annals of Software Engineering,1995,1(1):57-94. [18]DU W L,HO D,CAPRETZ L F.Improving Software Effort Estimation Using Neuro-Fuzzy Model with SEER-SEM[J].Computer Science,2015,10(12):51-63. [19]PHONGPAIBUL M,AROONVATANAPORN P.Standardized cost estimation in Thai government’s software development projects[C]∥2015 International Conference on Computer Science and Engineering Conference (ICSEC).IEEE,2015:1-6. [20]JONES C.Software Industry Goals for the Years 2014 through 2018[J].Journal of Cost Analysis & Parametrics,2014,7(1):41-47. [21]ALBRECHT A J.Measuring Application Development Productivity[C]∥IBM Applications Development Joint Share/guide Symposium.1979:83-92. [22]BUNDSCHUH M,DEKKERS C.Variants of the IFPUG Function Point Counting Method[M]∥The IT Measurement Compendium.Springer Berlin Heidelberg,2008:397-407. [23]HUANCA L M,ORE S B.Factors affecting the accuracy of effort estimation in software projects using Use Case Points[J].RISTI-Revista Iberica de Sistemas e Tecnologias de Informacao,2017,2017(21):18-32. [24]BADRI M,BADRI L,FLAGEOL W,et al.Source code size prediction using use case metrics:an empirical comparison with use case points[J].Innovations in Systems & Software Enginee-ring,2016,13(2-3):1-17. [25]SILHAVY P,SILHAVY R,PROKOPOVA Z.Evaluation of Data Clustering for Stepwise Linear Regression on Use Case Points Estimation[M]∥Software Engineering Trends and Techniques in Intelligent Systems.Springer,2017:491-496. [26]NASSIF A B,HO D,CAPRETZ L F.Towards an early software estimation using log-linear regression and a multilayer perceptron model[J].Journal of Systems & Software,2013,86(1):144-160. [27]RIJWANI P,JAIN S.Enhanced Software Effort Estimation Using Multi Layered Feed Forward Artificial Neural Network Technique[J].Procedia Computer Science,2016,89:307-312. [28]KAUSHIK A,SONI A K,SONI R.An improved functional link artificial neural networks with intuitionistic fuzzy clustering for software cost estimation[J].International Journal of System Assurance Engineering & Management,2014,7:1-12. [29]SONG L,MINKU L L,YAO X.The impact of parameter tuning on software effort estimation using learning machines[C]∥International Conference on Predictive MODELS in Software Engineering.2013:1-10. [30]MENDES E,WATSON I,TRIGGS C,et al.A Comparison of Development Effort Estimation Techniques for Web Hypermedia Applications[C]∥International Symposium on Software Metrics.IEEE Computer Society,2002:131. [31]GHAREHCHOPOGH F S,POURALI A.A new approach based on continuous genetic algorithm in software cost estimation[J].Journal of Scientific Research and Development,2015,2(4):87-94. [32]RAO G S,KRISHNA C V P,RAO K R.Multi Objective Particle Swarm Optimization for Software Cost Estimation[M]∥ICT and Critical Infrastructure:Proceedings of the 48th Annual Convention of Computer Society of India- Vol I.Springer International Publishing,2014:125-132. [33]KUMARI S,PUSHKAR S.Software Cost Estimation Using Cuckoo Search[M]∥Advances in Computational Intelligence.Singapore:Springer,2017:167-175. [34]DU W L,CAPRETZ L F,NASSIF A B,et al.A Hybrid Intelligent Model for Software Cost Estimation[J].Journal of Computer Science,2013,9(11):1506-1513. [35]MITTAL A,PARKASH K,MITTAL H.Software cost estimation using fuzzy logic[J].Acm Sigsoft Software Engineering Notes,2010,35(1):1-7. [36]SARNO R,SIDABUTAR J,SARWOSR I.Comparison of dif-ferent Neural Network architectures for software cost estimation[C]∥International Conference on Computer,Control,Informatics and ITS Applications.IEEE,2016:68-73. [37]BENALA T R,CHINNABABU K,MALL R,et al.A Particle Swarm Optimized Functional Link Artificial Neural Network (PSO-FLANN) in Software Cost Estimation[M]∥Proceedings of the International Conference on Frontiers of Intelligent Computing:Theory and Applications (FICTA).Berlin:Springer,2013:59-66. [38]ARAR,FARUK M,AYAN K.Software defect prediction using cost-sensitive neural network[M].Elsevier Science Publishers B V,2015:263-277. [39]WANI Z H,QUADRI S M K.Artificial Bee Colony-Trained Functional Link Artificial Neural Network Model for Software Cost Estimation[C]∥Proceedings of Fifth International Confe-rence on Soft Computing for Problem Solving.2016:729-741. [40]ATTARZADEH I,OW S H.Proposing a New Software Cost estimation Model Based on Artificial Neural Networks[J].Ssrn Electronic Journal,2010,3:V3-487-V3-491. [41]AZZEH M,NASSIF A B.A hybrid model for estimating software project effort from Use Case Points[J].Applied Soft Computing,2016,49:981-989. [42]NASSIF A B,CAPRETZ L F,HO D,et al.A Treeboost Model for Software Effort Estimation Based on Use Case Points[C]∥International Conference on Machine Learning and Applications.IEEE Computer Society,2012:314-319. [43]SATAPATHY S M,ACHARYA B P,RATH S K.Early stage software effort estimation using random forest technique based on use case points[J].IET Software,2016,10(1):10-17. [44]GHAREHCHOPOGH F S,MALEKI I,TALEBI A.Using Hybrid Model of Artificial Bee Colony and Genetic Algorithms in Software Cost Estimation[C]∥2015 9th International Con-ference on Application of Information and Communication Technologies (AICT).IEEE,2015:102-106. [45]JAFARI S M S,ZIAADDINI F.Optimization of software cost estimation using harmony search algorithm[C]∥Swarm Intelligence and Evolutionary Computation.IEEE,2016:131-135. [46]MITTAS N,ANGELIS L.LSEbA:least squares regression and estimation by analogy in a semi-parametric model for software cost estimation[J].Empirical Software Engineering,2010,15(5):523-555. [47]李效云,杨达,杨叶.一种改进的类推估算方法及案例研究[J].计算机应用与软件,2011,28(7):5-9. [48]IDRI A,AMAZAL F A,ABRAN A.Analogy-based software development effort estimation:A systematic mapping and review[J].Information & Software Technology,2014,58:206-230. [49]BARDSIRI V K,JAWAWI D N,HASHIM S Z,et al.A PSO-based model to increase the accuracy of software development effort estimation[J].Software Quality Journal,2013,21(3):501-526. [50]IDRI A,HOSNI M,ABRAN A.Improved estimation of soft-ware development effort using Classical and Fuzzy Analogy ensembles[J].Applied Soft Computing,2016,49:990-1019. [51]HUANG Z.Clustering Large Data Sets With Mixed Numeric and Categorical Values[EB/OL].http://www.doc88.com/P-7728902324900.html. [52]BISHNU P S,BHATTACHERJEE V.Software cost estimation based on modified K-Modes clustering Algorithm[J].Natural Computing,2016(3):1-8. [53]KASHYAP D,MISRA A K.Software Cost Estimation Using Similarity Difference Between Software Attributes[J].Advances in Intelligent Systems & Computing,2013,236:1-6. |
[1] | NING Han-yang, MA Miao, YANG Bo, LIU Shi-chang. Research Progress and Analysis on Intelligent Cryptology [J]. Computer Science, 2022, 49(9): 288-296. |
[2] | ZHOU Fang-quan, CHENG Wei-qing. Sequence Recommendation Based on Global Enhanced Graph Neural Network [J]. Computer Science, 2022, 49(9): 55-63. |
[3] | ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161. |
[4] | HAO Zhi-rong, CHEN Long, HUANG Jia-cheng. Class Discriminative Universal Adversarial Attack for Text Classification [J]. Computer Science, 2022, 49(8): 323-329. |
[5] | WANG Run-an, ZOU Zhao-nian. Query Performance Prediction Based on Physical Operation-level Models [J]. Computer Science, 2022, 49(8): 49-55. |
[6] | CHEN Yong-quan, JIANG Ying. Analysis Method of APP User Behavior Based on Convolutional Neural Network [J]. Computer Science, 2022, 49(8): 78-85. |
[7] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[8] | YAN Jia-dan, JIA Cai-yan. Text Classification Method Based on Information Fusion of Dual-graph Neural Network [J]. Computer Science, 2022, 49(8): 230-236. |
[9] | QI Xiu-xiu, WANG Jia-hao, LI Wen-xiong, ZHOU Fan. Fusion Algorithm for Matrix Completion Prediction Based on Probabilistic Meta-learning [J]. Computer Science, 2022, 49(7): 18-24. |
[10] | YANG Bing-xin, GUO Yan-rong, HAO Shi-jie, Hong Ri-chang. Application of Graph Neural Network Based on Data Augmentation and Model Ensemble in Depression Recognition [J]. Computer Science, 2022, 49(7): 57-63. |
[11] | ZHANG Ying-tao, ZHANG Jie, ZHANG Rui, ZHANG Wen-qiang. Photorealistic Style Transfer Guided by Global Information [J]. Computer Science, 2022, 49(7): 100-105. |
[12] | DAI Zhao-xia, LI Jin-xin, ZHANG Xiang-dong, XU Xu, MEI Lin, ZHANG Liang. Super-resolution Reconstruction of MRI Based on DNGAN [J]. Computer Science, 2022, 49(7): 113-119. |
[13] | LIU Yue-hong, NIU Shao-hua, SHEN Xian-hao. Virtual Reality Video Intraframe Prediction Coding Based on Convolutional Neural Network [J]. Computer Science, 2022, 49(7): 127-131. |
[14] | XU Ming-ke, ZHANG Fan. Head Fusion:A Method to Improve Accuracy and Robustness of Speech Emotion Recognition [J]. Computer Science, 2022, 49(7): 132-141. |
[15] | PENG Shuang, WU Jiang-jiang, CHEN Hao, DU Chun, LI Jun. Satellite Onboard Observation Task Planning Based on Attention Neural Network [J]. Computer Science, 2022, 49(7): 242-247. |
|