@inproceedings{WinklerSPCKB17a,
  author    = {Dietmar Winkler and
               Marta Sabou and
               Sanja Petrovic and
               Gisele Carneiro and
               Marcos Kalinowski and
               Stefan Biffl},
  title     = {Improving Model Inspection with Crowdsourcing},
  abstract  = {Traditional Software Inspection is a well-established approach to identify defects in software artifacts and models early and efficiently. However, insufficient method and tool support hinder efficient defect detection in large software models. Recent Human Computation and Crowdsourcing processes may help to overcome this limitation by splitting complex inspection artifacts into smaller parts including a better control over defect detection tasks and increasing the scalability of inspection tasks. Therefore, we introduce a Crowdsourcing-Based Inspection (CSI) process with tool support with focus on inspection teams and the quality of defect detection. We evaluate the CSI process in a feasibility study involving 63 inspectors using the CSI process and 12 inspectors using a traditional best-practice inspection process. The CSI process was found useful by the participants. Although the preliminary results of the study were promising, the CSI process should be further investigated with typical large software engineering models.},
  booktitle = {4th {IEEE/ACM} International Workshop on CrowdSourcing in Software
               Engineering, CSI-SE@ICSE 2017, Buenos Aires, Argentina, May 22, 2017},
  pages     = {30-34},
  year      = {2017},
  urlAuthor_version       = {http://www.inf.puc-rio.br/~kalinowski/publications/WinklerSPCKB17a.pdf},
  doi       = {10.1109/CSI-SE.2017.2},
}

{"_id":"boJq33CDPkaASpyAe","bibbaseid":"winkler-sabou-petrovic-carneiro-kalinowski-biffl-improvingmodelinspectionwithcrowdsourcing-2017","downloads":0,"creationDate":"2017-08-28T19:37:50.723Z","title":"Improving Model Inspection with Crowdsourcing","author_short":["Winkler, D.","Sabou, M.","Petrovic, S.","Carneiro, G.","Kalinowski, M.","Biffl, S."],"year":2017,"bibtype":"inproceedings","biburl":"https://bibbase.org/f/2Gq6bNPQ845THHiMW/KalinowskiPapers.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Dietmar"],"propositions":[],"lastnames":["Winkler"],"suffixes":[]},{"firstnames":["Marta"],"propositions":[],"lastnames":["Sabou"],"suffixes":[]},{"firstnames":["Sanja"],"propositions":[],"lastnames":["Petrovic"],"suffixes":[]},{"firstnames":["Gisele"],"propositions":[],"lastnames":["Carneiro"],"suffixes":[]},{"firstnames":["Marcos"],"propositions":[],"lastnames":["Kalinowski"],"suffixes":[]},{"firstnames":["Stefan"],"propositions":[],"lastnames":["Biffl"],"suffixes":[]}],"title":"Improving Model Inspection with Crowdsourcing","abstract":"Traditional Software Inspection is a well-established approach to identify defects in software artifacts and models early and efficiently. However, insufficient method and tool support hinder efficient defect detection in large software models. Recent Human Computation and Crowdsourcing processes may help to overcome this limitation by splitting complex inspection artifacts into smaller parts including a better control over defect detection tasks and increasing the scalability of inspection tasks. Therefore, we introduce a Crowdsourcing-Based Inspection (CSI) process with tool support with focus on inspection teams and the quality of defect detection. We evaluate the CSI process in a feasibility study involving 63 inspectors using the CSI process and 12 inspectors using a traditional best-practice inspection process. The CSI process was found useful by the participants. Although the preliminary results of the study were promising, the CSI process should be further investigated with typical large software engineering models.","booktitle":"4th IEEE/ACM International Workshop on CrowdSourcing in Software Engineering, CSI-SE@ICSE 2017, Buenos Aires, Argentina, May 22, 2017","pages":"30-34","year":"2017","urlauthor_version":"http://www.inf.puc-rio.br/~kalinowski/publications/WinklerSPCKB17a.pdf","doi":"10.1109/CSI-SE.2017.2","bibtex":"@inproceedings{WinklerSPCKB17a,\r\n author = {Dietmar Winkler and\r\n Marta Sabou and\r\n Sanja Petrovic and\r\n Gisele Carneiro and\r\n Marcos Kalinowski and\r\n Stefan Biffl},\r\n title = {Improving Model Inspection with Crowdsourcing},\r\n abstract = {Traditional Software Inspection is a well-established approach to identify defects in software artifacts and models early and efficiently. However, insufficient method and tool support hinder efficient defect detection in large software models. Recent Human Computation and Crowdsourcing processes may help to overcome this limitation by splitting complex inspection artifacts into smaller parts including a better control over defect detection tasks and increasing the scalability of inspection tasks. Therefore, we introduce a Crowdsourcing-Based Inspection (CSI) process with tool support with focus on inspection teams and the quality of defect detection. We evaluate the CSI process in a feasibility study involving 63 inspectors using the CSI process and 12 inspectors using a traditional best-practice inspection process. The CSI process was found useful by the participants. Although the preliminary results of the study were promising, the CSI process should be further investigated with typical large software engineering models.},\r\n booktitle = {4th {IEEE/ACM} International Workshop on CrowdSourcing in Software\r\n Engineering, CSI-SE@ICSE 2017, Buenos Aires, Argentina, May 22, 2017},\r\n pages = {30-34},\r\n year = {2017},\r\n urlAuthor_version = {http://www.inf.puc-rio.br/~kalinowski/publications/WinklerSPCKB17a.pdf},\r\n doi = {10.1109/CSI-SE.2017.2},\r\n}\r\n\r\n","author_short":["Winkler, D.","Sabou, M.","Petrovic, S.","Carneiro, G.","Kalinowski, M.","Biffl, S."],"key":"WinklerSPCKB17a","id":"WinklerSPCKB17a","bibbaseid":"winkler-sabou-petrovic-carneiro-kalinowski-biffl-improvingmodelinspectionwithcrowdsourcing-2017","role":"author","urls":{"Author version":"http://www.inf.puc-rio.br/~kalinowski/publications/WinklerSPCKB17a.pdf"},"metadata":{"authorlinks":{"kalinowski, m":"https://www-di.inf.puc-rio.br/~kalinowski/publications.html"}},"downloads":0,"html":""},"search_terms":["improving","model","inspection","crowdsourcing","winkler","sabou","petrovic","carneiro","kalinowski","biffl"],"keywords":[],"authorIDs":["2B3zZtfuH9AmxpWuo","2QsG9mfJnwX6MTuoJ","2jrFxieEqzijPmHCy","49dv4suCFf46nEFSX","59a4710e2e4566ba6f00002f","5A6un3HSxZaPDiXPA","5BTmBrmMozf6YgG5J","5Xaa4eConBa76EZjB","5de815459b61e8de01000279","5dedbd05e47c43de01000074","5df2323f1e4fe9df010001ab","5df8262ddc1981de0100002b","5dfc0a4fb371afde010000ae","5e00d4f7ea72ecdf01000031","5e177d32cf35a4de010000b2","5e1c542be556c6de010000e5","5e24c7d1981ceddf01000056","5e273928557b88de0100018d","5e29e136888177df01000188","5e29e9bd8fb0e6de01000033","5e29ed5f8fb0e6de01000066","5e29edf08fb0e6de01000076","5e2f5ae926e5cadf0100022e","5e3731a0646a98de010001e3","5e3e9fdc8fc127df01000078","5e45b6010920e8de01000031","5e4dffdbcc196bde01000144","5e57fed4a38020de0100012b","5e5ea112c0a53dde010002a9","5e5f20398ca867de0100007b","5e5feba85241b5de01000152","5e612a1f97c182e901000006","5e62e7723ba99bdf0100011b","5e681423c1fce0de010003f7","5e6829e0dfcfe3de010002d5","5e68ed471a389bdf010002fe","5e692ffd6964dedf01000037","5e6a42a0e3f54ade0100021d","6QPwdbn4oBshmv7s4","6dqbLtPtqmDfPtn76","7NssSDosapMwtTvug","7qizdca9gsw4HKauB","7rCPkhvup9LNQxuFs","9qNKNW92qhDZCwqc9","9zsfZu5qMELTmAhjx","AKLEQwiRMbTHnbbxP","B3j35ujgEN7NnDuao","BC6rKyeyBW4rnvBoD","BEXQaGSxnsXwH6ywH","BWc4GQhzJPEzBWCii","BWrEB42G2rZBhMXWP","BoieZoFeBMJdL7szA","C3QHjz3o9QHY2KM5z","CDoE7ubzqSgQDw4No","D9yfAL4Cz9raPXGYt","DMAfbTM8MTudubAmg","E3kQ5FnruEw9rpydE","EQmGWRtm5iTqAJr79","EjYMP7BmZWnnCe2G9","Fjz6zCPk6dhrQh7ak","GfRgLSdsCnJcxHqk5","H9jTFvgcfA2frDvhj","J68AKX8noZCCaTSTC","JX7K3iwdPuCFmXLSK","KY7XQ7o9dYKbPfNvZ","LAPXFimEzgfLvJ3x5","NXfXCuu5e8PLD9tjP","NcXBcwHjnnYsqtJwj","P3xQviDsAA5Nyepbh","Q5HhB8XwWxviNHds8","QNZis6ZZX7Yjbx8dE","Qc6N7XXPtrqPpoz4E","SX7EYSkFddyzaBm6X","TEfrhfD2aFrBZaPoC","TdDrDsjDeT5x75mSb","X52u8rd5YXy5LA7un","XJLfEnjtpExqCJZaW","XMNYKpR8WAFvirRqK","XihJbHkzXLgRtNyxn","XsXTSrDqyDoKDSmNq","YqBvGBJjQxyDSh7S5","YyAJT6vXC6BKreqDz","Zrx3awt824zfj7sSq","auNZr9WLsGE5yM95y","dFvjKbaZaDAq7ckZJ","dPKdaA8smJs9fD9aK","e3dB4oaTL7GMfFgxK","eNvtiALsMm2uYYycD","eyyzX9y5xtqzMnTRj","gz3th4fHvqAew9t4d","hXHpEcrrfJ2s2iYfG","hdQfGGPRY6SRzm5Ko","iMFD4aggCkDpRbjzY","iSDp642Wcpz8tx3Et","idw5XK3YYZ9zoiTRQ","jQSpXNQ9zGdK9MNg5","jnzKc2JyGfzCkYHhd","juFRAZ7Ght5WjDjmL","k3N5QRHDiN6riZiAM","kd57C3edL7i8Wd84N","mfAwYkjQak83CbSTc","nrZNNBXjpC2enCsS6","o8dowv3jmQXqEKvC2","oab566NG74uXsBmwv","pAEkuNSzoQMJv6HEA","pPPN4e9LKJdN8Mxxy","pRJmqmExQ3P4YnarG","pcdRpqFz4kQKG67b2","peFdo2JYEZeDcgz5y","pmHQ27YZJtYA8bWLb","qRaeFjmTD9bcnWRpS","qujKQpt7j7DMJJ7RH","rhwhwtMA472RbPiq4","sgMZQR6tjyrtQJMjs","th5Bb6GjMT6NDynxY","tkio9AppMC7RRAmn3","up5b9JPmGJAE7cKzM","wE7ePiMnAtpNHo5xB","wjubqSThzCzkZtY4R","wuZMB8CeGEzZRou5r","x98pJyoike8bxbRn6","xSybShZMHQMQ8yMSF","xerEPhmhSdZJXb6QX","yqEQy2HisnquBmuLK","yvRZvxhXXSADSSiod","z8Hfj7RHYQjKdxD2H","zGAYQbmvDTTNydwuA"],"dataSources":["JhEx5LqjNuowkDTYw","vp6ff9ZJkhXGDuh9E","fNxekpJ4iGWMdJryo","FPdHx2YNMWt6KHbaS","oL8GbjE74fizfjkxY","Wbj3iHa4hGsGjEGJE","q7rgFjFgwoTSGkm3G","aKfxcyv7C9p9ytdpG","9pAzChfPy53GguqQk","B8Jierr7smZsGa7Jb","tvqztEQv84agmtPEB","ZCce9uhx7vt9PXPrc","FGDKYBjH9upApdKoL"]}