@inproceedings{FelizardoMKSV16,
  author    = {Katia Romero Felizardo and
               Emilia Mendes and
               Marcos Kalinowski and
               {\'{E}}rica Ferreira de Souza and
               Nandamudi L. Vijaykumar},
  title     = {Using Forward Snowballing to update Systematic Reviews in Software
               Engineering},
  abstract  = {Background: A Systematic Literature Review (SLR) is a methodology used to aggregate relevant evidence related to one or more research questions. Whenever new evidence is published after the completion of a SLR, this SLR should be updated in order to preserve its value. However, updating SLRs involves significant effort. Objective: The goal of this paper is to investigate the application of forward snowballing to support the update of SLRs. Method: We compare outcomes of an update achieved using the forward snowballing versus a published update using the search-based approach, i.e., searching for studies in electronic databases using a search string. Results: Forward snowballing showed a higher precision and a slightly lower recall. It reduced in more than five times the number of primary studies to filter however missed one relevant study. Conclusions: Due to its high precision, we believe that the use of forward snowballing considerably reduces the effort in updating SLRs in Software Engineering; however the risk of missing relevant papers should not be underrated. © 2016 ACM.},			   
  booktitle = {Proceedings of the 10th {ACM/IEEE} International Symposium on Empirical
               Software Engineering and Measurement, {ESEM} 2016, Ciudad Real, Spain,
               September 8-9, 2016},
  pages     = {53:1-53:6},
  note      = {<font color="red">Best Short Paper Award!</font>},  
  year      = {2016},
  urlAuthor_version       = {http://www.inf.puc-rio.br/~kalinowski/publications/FelizardoMKSV16.pdf},
  doi       = {10.1145/2961111.2962630},
}

{"_id":"8zmXmp8WXQXy7ZBZC","bibbaseid":"felizardo-mendes-kalinowski-desouza-vijaykumar-usingforwardsnowballingtoupdatesystematicreviewsinsoftwareengineering-2016","downloads":1,"creationDate":"2017-09-06T17:50:46.182Z","title":"Using Forward Snowballing to update Systematic Reviews in Software Engineering","author_short":["Felizardo, K. R.","Mendes, E.","Kalinowski, M.","de Souza, É. F.","Vijaykumar, N. L."],"year":2016,"bibtype":"inproceedings","biburl":"https://bibbase.org/f/2Gq6bNPQ845THHiMW/KalinowskiPapers.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Katia","Romero"],"propositions":[],"lastnames":["Felizardo"],"suffixes":[]},{"firstnames":["Emilia"],"propositions":[],"lastnames":["Mendes"],"suffixes":[]},{"firstnames":["Marcos"],"propositions":[],"lastnames":["Kalinowski"],"suffixes":[]},{"firstnames":["Érica","Ferreira"],"propositions":["de"],"lastnames":["Souza"],"suffixes":[]},{"firstnames":["Nandamudi","L."],"propositions":[],"lastnames":["Vijaykumar"],"suffixes":[]}],"title":"Using Forward Snowballing to update Systematic Reviews in Software Engineering","abstract":"Background: A Systematic Literature Review (SLR) is a methodology used to aggregate relevant evidence related to one or more research questions. Whenever new evidence is published after the completion of a SLR, this SLR should be updated in order to preserve its value. However, updating SLRs involves significant effort. Objective: The goal of this paper is to investigate the application of forward snowballing to support the update of SLRs. Method: We compare outcomes of an update achieved using the forward snowballing versus a published update using the search-based approach, i.e., searching for studies in electronic databases using a search string. Results: Forward snowballing showed a higher precision and a slightly lower recall. It reduced in more than five times the number of primary studies to filter however missed one relevant study. Conclusions: Due to its high precision, we believe that the use of forward snowballing considerably reduces the effort in updating SLRs in Software Engineering; however the risk of missing relevant papers should not be underrated. © 2016 ACM.","booktitle":"Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016, Ciudad Real, Spain, September 8-9, 2016","pages":"53:1-53:6","note":"<font color=\"red\">Best Short Paper Award!</font>","year":"2016","urlauthor_version":"http://www.inf.puc-rio.br/~kalinowski/publications/FelizardoMKSV16.pdf","doi":"10.1145/2961111.2962630","bibtex":"@inproceedings{FelizardoMKSV16,\r\n author = {Katia Romero Felizardo and\r\n Emilia Mendes and\r\n Marcos Kalinowski and\r\n {\\'{E}}rica Ferreira de Souza and\r\n Nandamudi L. Vijaykumar},\r\n title = {Using Forward Snowballing to update Systematic Reviews in Software\r\n Engineering},\r\n abstract = {Background: A Systematic Literature Review (SLR) is a methodology used to aggregate relevant evidence related to one or more research questions. Whenever new evidence is published after the completion of a SLR, this SLR should be updated in order to preserve its value. However, updating SLRs involves significant effort. Objective: The goal of this paper is to investigate the application of forward snowballing to support the update of SLRs. Method: We compare outcomes of an update achieved using the forward snowballing versus a published update using the search-based approach, i.e., searching for studies in electronic databases using a search string. Results: Forward snowballing showed a higher precision and a slightly lower recall. It reduced in more than five times the number of primary studies to filter however missed one relevant study. Conclusions: Due to its high precision, we believe that the use of forward snowballing considerably reduces the effort in updating SLRs in Software Engineering; however the risk of missing relevant papers should not be underrated. © 2016 ACM.},\t\t\t \r\n booktitle = {Proceedings of the 10th {ACM/IEEE} International Symposium on Empirical\r\n Software Engineering and Measurement, {ESEM} 2016, Ciudad Real, Spain,\r\n September 8-9, 2016},\r\n pages = {53:1-53:6},\r\n note = {<font color=\"red\">Best Short Paper Award!</font>}, \r\n year = {2016},\r\n urlAuthor_version = {http://www.inf.puc-rio.br/~kalinowski/publications/FelizardoMKSV16.pdf},\r\n doi = {10.1145/2961111.2962630},\r\n}\r\n\r\n","author_short":["Felizardo, K. R.","Mendes, E.","Kalinowski, M.","de Souza, É. F.","Vijaykumar, N. L."],"key":"FelizardoMKSV16","id":"FelizardoMKSV16","bibbaseid":"felizardo-mendes-kalinowski-desouza-vijaykumar-usingforwardsnowballingtoupdatesystematicreviewsinsoftwareengineering-2016","role":"author","urls":{"Author version":"http://www.inf.puc-rio.br/~kalinowski/publications/FelizardoMKSV16.pdf"},"metadata":{"authorlinks":{"kalinowski, m":"https://www-di.inf.puc-rio.br/~kalinowski/publications.html"}},"downloads":1,"html":""},"search_terms":["using","forward","snowballing","update","systematic","reviews","software","engineering","felizardo","mendes","kalinowski","de souza","vijaykumar"],"keywords":[],"authorIDs":["2QsG9mfJnwX6MTuoJ"],"dataSources":["JhEx5LqjNuowkDTYw","fNxekpJ4iGWMdJryo","FPdHx2YNMWt6KHbaS","oL8GbjE74fizfjkxY","Wbj3iHa4hGsGjEGJE","q7rgFjFgwoTSGkm3G","aKfxcyv7C9p9ytdpG","9pAzChfPy53GguqQk","B8Jierr7smZsGa7Jb","tvqztEQv84agmtPEB","ZCce9uhx7vt9PXPrc","FGDKYBjH9upApdKoL"]}