{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T12:51:58Z","timestamp":1726059118464},"publisher-location":"Cham","reference-count":50,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030353322"},{"type":"electronic","value":"9783030353339"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-35333-9_20","type":"book-chapter","created":{"date-parts":[[2019,11,17]],"date-time":"2019-11-17T19:01:29Z","timestamp":1574017289000},"page":"280-295","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Can Expert Opinion Improve Effort Predictions When Exploiting Cross-Company Datasets? - A Case Study in a Small\/Medium Company"],"prefix":"10.1007","author":[{"given":"Filomena","family":"Ferrucci","sequence":"first","affiliation":[]},{"given":"Carmine","family":"Gravino","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,18]]},"reference":[{"key":"20_CR1","unstructured":"The promise repository of empirical software engineering data (2015)"},{"key":"20_CR2","unstructured":"ISBSG: www.isbsg.org (2017)"},{"key":"20_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.infsof.2017.02.005","volume":"86","author":"AZ Abualkishik","year":"2017","unstructured":"Abualkishik, A.Z., et al.: A study on the statistical convertibility of IFPUG function point, COSMIC function point and simple function point. Inf. Softw. Technol. 86, 1\u201319 (2017)","journal-title":"Inf. Softw. Technol."},{"key":"20_CR4","doi-asserted-by":"publisher","first-page":"1287","DOI":"10.2307\/1911963","volume":"47","author":"T Breush","year":"1992","unstructured":"Breush, T., Pagan, A.: A simple test for heteroscedasticity and random coefficient variation. Econometrica 47, 1287\u20131294 (1992)","journal-title":"Econometrica"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Briand, L., El Emam, K., Surmann, D., Wiekzorek, I., Maxwell, K.: An assessment and comparison of common software cost estimation modeling techniques. In: Proceedings of International Conference on Software Engineering, pp. 313\u2013322. IEEE Press (1999)","DOI":"10.1145\/302405.302647"},{"key":"20_CR6","unstructured":"Briand, L.C., Wieczorek, I.: Software resource estimation. In: Encyclopedia of Software Engineering, pp. 1160\u20131196 (2002)"},{"key":"20_CR7","volume-title":"Practical Nonparametric Statistics","author":"WJ Conover","year":"1998","unstructured":"Conover, W.J.: Practical Nonparametric Statistics, 3rd edn. Wiley, Hoboken (1998)","edition":"3"},{"issue":"2","key":"20_CR8","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s10664-010-9138-4","volume":"16","author":"A Corazza","year":"2011","unstructured":"Corazza, A., Martino, S.D., Ferrucci, F., Gravino, C., Mendes, E.: Investigating the use of support vector regression for web effort estimation. Empirical Softw. Eng. 16(2), 211\u2013243 (2011)","journal-title":"Empirical Softw. Eng."},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Di Martino, S., Ferrucci, F., Gravino, C., Mendes, E.: Comparing size measures for predicting web application development effort: a case study. In: Proceedings of Empirical Software Engineering and Measurement, pp. 324\u2013333. IEEE Press (2007)","DOI":"10.1109\/ESEM.2007.20"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Ferrucci, F., Mendes, E., Sarro, F.: Web effort estimation: the value of cross-company data set compared to single-company data set. In: Proceedings of the 8th International Conference on Predictive Models in Software Engineering, pp. 29\u201338 (2012)","DOI":"10.1145\/2365324.2365330"},{"key":"20_CR11","volume-title":"Mathematical Statistics","author":"J Freund","year":"1992","unstructured":"Freund, J.: Mathematical Statistics. Prentice-Hall, Upper Saddle River (1992)"},{"key":"20_CR12","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1016\/S0950-5849(00)00153-1","volume":"42","author":"R Jeffery","year":"2000","unstructured":"Jeffery, R., Ruhe, M., Wieczorek, I.: A comparative study of two software development cost modeling techniques using multi-organizational and company-specific data. Inf. Softw. Technol. 42, 1009\u20131016 (2000)","journal-title":"Inf. Softw. Technol."},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Jeffery, R., Ruhe, M., Wieczorek, I.: Using public domain metrics to estimate software development effort. In: Proceedings of International Software Metrics Symposium, pp. 16\u201327. IEEE Press (2001)","DOI":"10.1109\/METRIC.2001.915512"},{"issue":"1\u20132","key":"20_CR14","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/S0164-1212(02)00156-5","volume":"70","author":"M J\u00f8Rgensen","year":"2004","unstructured":"J\u00f8Rgensen, M.: A review of studies on expert estimation of software development effort. J. Syst. Softw. 70(1\u20132), 37\u201360 (2004)","journal-title":"J. Syst. Softw."},{"issue":"11\u201312","key":"20_CR15","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1016\/j.infsof.2007.02.015","volume":"4","author":"V Kampenes","year":"2007","unstructured":"Kampenes, V., Dyba, T., Hannay, J., Sjoberg, I.: A systematic review of effect size in software engineering experiments. Inf. Softw. Technol. 4(11\u201312), 1073\u20131086 (2007)","journal-title":"Inf. Softw. Technol."},{"issue":"5","key":"20_CR16","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1109\/TSE.2007.1001","volume":"33","author":"B Kitchenham","year":"2007","unstructured":"Kitchenham, B., Mendes, E., Travassos, G.: Cross versus within-company cost estimation studies: a systematic review. IEEE Trans. Softw. Eng. 33(5), 316\u2013329 (2007)","journal-title":"IEEE Trans. Softw. Eng."},{"issue":"4","key":"20_CR17","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/52.391832","volume":"12","author":"B Kitchenham","year":"1995","unstructured":"Kitchenham, B., Pickard, L., Pfleeger, S.: Case studies for method and tool evaluation. IEEE Softw. 12(4), 52\u201362 (1995)","journal-title":"IEEE Softw."},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Kitchenham, B., Mendes, E., Travassos, G.H.: A systematic review of cross- vs. within- company cost estimation studies. In: Proceedings of the 10th International Conference on Evaluation and Assessment in Software Engineering, EASE 2006, pp. 81\u201390. BCS Learning & Development Ltd., Swindon (2006)","DOI":"10.14236\/ewic\/EASE2006.10"},{"issue":"3","key":"20_CR19","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1007\/s10664-014-9300-5","volume":"20","author":"E Kocaguneli","year":"2015","unstructured":"Kocaguneli, E., Menzies, T., Mendes, E.: Transfer learning in effort estimation. Empirical Softw. Eng. 20(3), 813\u2013843 (2015)","journal-title":"Empirical Softw. Eng."},{"key":"20_CR20","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.infsof.2016.01.003","volume":"73","author":"WB Langdon","year":"2016","unstructured":"Langdon, W.B., Dolado, J., Sarro, F., Harman, M.: Exact mean absolute error of baseline predictor, MARP0. Inf. Softw. Technol. 73, 16\u201318 (2016)","journal-title":"Inf. Softw. Technol."},{"key":"20_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"2477","DOI":"10.1007\/3-540-45110-2_151","volume-title":"Genetic and Evolutionary Computation\u2014GECCO 2003","author":"M Lefley","year":"2003","unstructured":"Lefley, M., Shepperd, M.J.: Using genetic programming to improve software effort estimation based on general data sets. In: Cant\u00fa-Paz, E., et al. (eds.) GECCO 2003. LNCS, vol. 2724, pp. 2477\u20132487. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-45110-2_151"},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Lokan, C., Mendes, E.: Cross-company and single-company effort models using the ISBSG database: a further replicated study. In: Proceedings of International Symposium on Empirical Software Engineering, pp. 75\u201384. IEEE Press (2006)","DOI":"10.1145\/1159733.1159747"},{"key":"20_CR23","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.infsof.2015.12.001","volume":"72","author":"SD Martino","year":"2016","unstructured":"Martino, S.D., Ferrucci, F., Gravino, C., Sarro, F.: Web effort estimation: function point analysis vs. COSMIC. Inf. Softw. Technol. 72, 90\u2013109 (2016)","journal-title":"Inf. Softw. Technol."},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Mendes, E.: Predicting web development effort using a Bayesian network. In: Proceedings of Evaluation and Assessment in Software Engineering, pp. 83\u201393. IEEE Press (2007)","DOI":"10.14236\/ewic\/EASE2007.9"},{"issue":"3","key":"20_CR25","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1049\/ip-sen:20020337","volume":"149","author":"E Mendes","year":"2002","unstructured":"Mendes, E., Counsell, S., Mosley, N.: Comparison of Web size measures for predicting Web design and authoring effort. IEE Proc.-Softw. 149(3), 86\u201392 (2002)","journal-title":"IEE Proc.-Softw."},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Mendes, E., Di Martino, S., Ferrucci, F., Gravino, C.: Effort estimation: how valuable is it for a Web company to use a cross-company data set, compared to using its own single-company data Set? In: Proceedings of the 6th International World Wide Web Conference, pp. 83\u201393. ACM Press (2007)","DOI":"10.1145\/1242572.1242702"},{"key":"20_CR27","doi-asserted-by":"crossref","unstructured":"Mendes, E., Kitchenham, B.: Further comparison of cross-company and within-company effort estimation models for web applications. In: Proceedings of International Software Metrics Symposium, pp. 348\u2013357. IEEE Press (2004)","DOI":"10.1049\/ic:20040398"},{"key":"20_CR28","doi-asserted-by":"crossref","unstructured":"Mendes, E.: A comparison of techniques for web effort estimation. In: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, Madrid, Spain, 20\u201321 September 2007, pp. 334\u2013343 (2007)","DOI":"10.1109\/ESEM.2007.14"},{"key":"20_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1007\/978-3-540-73597-7_8","volume-title":"Web Engineering","author":"E Mendes","year":"2007","unstructured":"Mendes, E.: The use of a bayesian network for web effort estimation. In: Baresi, L., Fraternali, P., Houben, G.-J. (eds.) ICWE 2007. LNCS, vol. 4607, pp. 90\u2013104. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-73597-7_8"},{"key":"20_CR30","doi-asserted-by":"crossref","unstructured":"Mendes, E.: The use of Bayesian networks for web effort estimation: further investigation. In: Proceedings of International Conference on Web Engineering, pp. 203\u2013216 (2008)","DOI":"10.1109\/ICWE.2008.16"},{"key":"20_CR31","doi-asserted-by":"crossref","unstructured":"Mendes, E., Kalinowski, M., Martins, D., Ferrucci, F., Sarro, F.: Cross- vs. within-company cost estimation studies revisited: an extended systematic review. In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, EASE 2014, pp. 12:1\u201312:10. ACM, New York (2014)","DOI":"10.1145\/2601248.2601284"},{"key":"20_CR32","doi-asserted-by":"crossref","unstructured":"Mendes, E., Lokan, C.: Investigating the use of chronological splitting to compare software cross-company and single-company effort predictions: a replicated study. In: Proceedings of the 13th International Conference on Evaluation and Assessment in Software Engineering, EASE 2009 (2009)","DOI":"10.14236\/ewic\/EASE2009.2"},{"issue":"5","key":"20_CR33","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1016\/j.jss.2007.07.044","volume":"81","author":"E Mendes","year":"2008","unstructured":"Mendes, E., Martino, S.D., Ferrucci, F., Gravino, C.: Cross-company vs. single-company web effort models using the Tukutuku database: an extended study. J. Syst. Softw. 81(5), 673\u2013690 (2008)","journal-title":"J. Syst. Softw."},{"key":"20_CR34","unstructured":"Mendes, E., Mosley, N.: Bayesian network models for web effort prediction: a comparative study. IEEE Trans. Softw. Eng. 34(6), 723\u2013737 (2008)"},{"key":"20_CR35","doi-asserted-by":"crossref","unstructured":"Mendes, E., Pollino, C.A., Mosley, N.: Building an expert-based web effort estimation model using Bayesian networks. In: 13th International Conference on Evaluation and Assessment in Software Engineering, EASE 2009, 20\u201321 April 2009. Durham University, UK (2009)","DOI":"10.14236\/ewic\/EASE2009.5"},{"issue":"11","key":"20_CR36","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1109\/TSE.2006.114","volume":"32","author":"T Menzies","year":"2006","unstructured":"Menzies, T., Chen, Z., Hihn, J., Lum, K.: Selecting best practices for effort estimation. IEEE Trans. Softw. Eng. 32(11), 883\u2013895 (2006)","journal-title":"IEEE Trans. Softw. Eng."},{"key":"20_CR37","doi-asserted-by":"crossref","unstructured":"Minku, L., Sarro, F., Mendes, E., Ferrucci, F.: How to make best use of cross-company data for web effort estimation? In: 2015 ACM\/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 1\u201310 (2015)","DOI":"10.1109\/ESEM.2015.7321199"},{"key":"20_CR38","doi-asserted-by":"crossref","unstructured":"Minku, L.L., Yao, X.: How to make best use of cross-company data in software effort estimation? In: Proceedings of the 36th International Conference on Software Engineering, ICSE 2014, pp. 446\u2013456. ACM (2014)","DOI":"10.1145\/2568225.2568228"},{"issue":"3","key":"20_CR39","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s10515-016-0209-7","volume":"24","author":"LL Minku","year":"2017","unstructured":"Minku, L.L., Yao, X.: Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models. Autom. Softw. Eng. 24(3), 499\u2013542 (2017)","journal-title":"Autom. Softw. Eng."},{"issue":"1\u20132","key":"20_CR40","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s10664-011-9183-7","volume":"17","author":"I Myrtveit","year":"2012","unstructured":"Myrtveit, I., Stensrud, E.: Validity and reliability of evaluation procedures in comparative studies of effort prediction models. Empirical Softw. Eng. 17(1\u20132), 23\u201333 (2012)","journal-title":"Empirical Softw. Eng."},{"key":"20_CR41","series-title":"International Series in Operations Research & Management Science","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/978-0-306-47630-3_7","volume-title":"Principles of Forecasting","author":"G Rowe","year":"2001","unstructured":"Rowe, G., Wright, G.: Expert opinions in forecasting: the role of the Delphi technique. In: Armstrong, J.S. (ed.) Principles of Forecasting. ISOR, vol. 30, pp. 125\u2013144. Springer, Boston (2001). https:\/\/doi.org\/10.1007\/978-0-306-47630-3_7"},{"issue":"2","key":"20_CR42","doi-asserted-by":"publisher","first-page":"115","DOI":"10.2307\/2347973","volume":"31","author":"P Royston","year":"1982","unstructured":"Royston, P.: An extension of Shapiro and Wilk\u2019s W test for normality to large samples. Appl. Stat. 31(2), 115\u2013124 (1982)","journal-title":"Appl. Stat."},{"key":"20_CR43","unstructured":"Ruhe, M., Wieczorek, I.: How valuable is company-specific data compared to multi-company data for software cost estimation? In: Proceedings of the International Software Metrics Symposium, pp. 237\u2013246. IEEE Press (2002)"},{"key":"20_CR44","unstructured":"Sarro, F., Ferrucci, F., Gravino, C.: Single and multi objective genetic programming for software development effort estimation. In: Proceedings of the ACM Symposium on Applied Computing, SAC 2012, Riva, Trento, Italy, 26\u201330 March 2012, pp. 1221\u20131226 (2012)"},{"issue":"3","key":"20_CR45","doi-asserted-by":"publisher","first-page":"12:1","DOI":"10.1145\/3234940","volume":"27","author":"F Sarro","year":"2018","unstructured":"Sarro, F., Petrozziello, A.: Linear programming as a baseline for software effort estimation. ACM Trans. Softw. Eng. Methodol. 27(3), 12:1\u201312:28 (2018)","journal-title":"ACM Trans. Softw. Eng. Methodol."},{"issue":"8","key":"20_CR46","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1016\/j.infsof.2011.12.008","volume":"54","author":"MJ Shepperd","year":"2012","unstructured":"Shepperd, M.J., MacDonell, S.G.: Evaluating prediction systems in software project estimation. Inf. Softw. Technol. 54(8), 820\u2013827 (2012)","journal-title":"Inf. Softw. Technol."},{"key":"20_CR47","doi-asserted-by":"crossref","unstructured":"Turhan, B., Mendes, E.: A comparison of cross-versus single-company effort prediction models for web projects. In: 40th EUROMICRO Conference on Software Engineering and Advanced Applications, EUROMICRO-SEAA 2014, Verona, Italy, 27\u201329 August 2014, pp. 285\u2013292 (2014)","DOI":"10.1109\/SEAA.2014.41"},{"issue":"2","key":"20_CR48","first-page":"101","volume":"25","author":"A Vargha","year":"2000","unstructured":"Vargha, A., Delaney, H.D.: A critique and improvement of the CL common language effect size statistics of McGraw and Wong. J. Educ. Behav. Stat. 25(2), 101\u2013132 (2000)","journal-title":"J. Educ. Behav. Stat."},{"key":"20_CR49","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-4625-2","volume-title":"Experimentation in Software Engineering - An Introduction","author":"C Wohlin","year":"2000","unstructured":"Wohlin, C., Runeson, P., Host, M., Ohlsson, M., Regnell, B., Wesslen, A.: Experimentation in Software Engineering - An Introduction. Kluwer, Dordrecht (2000)"},{"key":"20_CR50","volume-title":"Case Study Research: Design and Methods","author":"RK Yin","year":"1984","unstructured":"Yin, R.K.: Case Study Research: Design and Methods. Sage Publications, Thousand Oaks (1984)"}],"container-title":["Lecture Notes in Computer Science","Product-Focused Software Process Improvement"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-35333-9_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,5]],"date-time":"2022-10-05T17:17:35Z","timestamp":1664990255000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-35333-9_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030353322","9783030353339"],"references-count":50,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-35333-9_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"18 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PROFES","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Product-Focused Software Process Improvement","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"profes2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/profes2019.upc.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"65","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The 11 short papers were selected from 30 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}