{"title":"Factors Affecting Development Process in Small Software Companies","authors":"Micheal Tuape, Y. Ayalew","doi":"10.1109/SEiA.2019.00011","DOIUrl":"https://doi.org/10.1109/SEiA.2019.00011","url":null,"abstract":"The importance of small software companies (SSC) cannot be ignored in the general software industry because SSCs represent up to 95% of all software companies worldwide and contribute significantly to the world economy. However, quality of software is a big challenge especially to SSCs and efforts to improve software processes have mainly targeted big companies. The paper focuses on a systematic literature review (SLR) to identify factors affecting the development process of SSCs with the ultimate focus being on companies from the African continent. The results of the study indicate that factors such as organizational, governance and business environment are commonly cited factors which affect the development process of SSCs.","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116247318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SEiA 2019 Program Committee","authors":"","doi":"10.1109/seia.2019.00007","DOIUrl":"https://doi.org/10.1109/seia.2019.00007","url":null,"abstract":"","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"497 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123644156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Message from the SEiA 2019 Symposium Chairs","authors":"","doi":"10.1109/seia.2019.00005","DOIUrl":"https://doi.org/10.1109/seia.2019.00005","url":null,"abstract":"Welcome to the second edition of the Symposium on Software Engineering in Africa (SEiA). SEiA is a forum for researchers, innovators, and leading professionals to discuss the state and future of software engineering in Africa. SEiA 2019 has been organized with the purpose of increasing participation of researchers from Africa in international Software Engineering community. The event provides a platform for exchanging ideas on the role of software engineering in socio-economic development of the continent, the future directions of software engineering research and education in Africa, creating networks with the global software engineering community, and sharing exciting results with the global community.","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123286553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SEiA 2019 Organizing Committee","authors":"","doi":"10.1109/seia.2019.00006","DOIUrl":"https://doi.org/10.1109/seia.2019.00006","url":null,"abstract":"","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126193348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sinayobye Janvier Omar, Fred N. Kiwanuka, Kaawaase Kyanda Swaib, M. Richard
{"title":"Hybrid Model of Correlation Based Filter Feature Selection and Machine Learning Classifiers Applied on Smart Meter Data Set","authors":"Sinayobye Janvier Omar, Fred N. Kiwanuka, Kaawaase Kyanda Swaib, M. Richard","doi":"10.1109/SEiA.2019.00009","DOIUrl":"https://doi.org/10.1109/SEiA.2019.00009","url":null,"abstract":"Feature selection is referred to the process of obtaining a subset from an original feature set according to certain feature selection criterion, which selects the relevant features of the dataset. It plays a role in compressing the data processing scale, where the redundant and irrelevant features are removed. Feature selection techniques show that more information is not always good in machine learning applications. Apply different algorithms for the data at hand and with baseline classification performance values we can select a final feature selection algorithm. In this paper, we propose a hybrid classification model, which has correlation based filter feature selection algorithm and Machine learning as classifiers. The objective of this study is to select relevant features and analyze the outperform machine learning algorithms in order to train our model, predict and compare their classification performance. In this method, features are ordered according to their Absolute correlation value with respect to the class attribute. Then top K Features are selected from ordered list of features to form a reduced dataset. This proposed classifier model is applied to our smart meter datasets. To measure the performance of these selected features; seven benchmark classifier are used; Random Forest (RF), Logistic Regression (LR), k-Nearest Neighbor (kNN), Naïve Bayes (NB), Decision Tree (DT), Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM). This paper then analyzes the performance of all classifiers with feature selection in term of accuracy, sensitivity, F-Measure, Specificity, Precision, and MCC. From our experiment, we found that Random Forest classifier performed higher than other used classifiers.","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121375694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SEiA 2019 Keynote Speeches","authors":"","doi":"10.1109/seia.2019.00013","DOIUrl":"https://doi.org/10.1109/seia.2019.00013","url":null,"abstract":"","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114794093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SEiA 2019 Sponsors","authors":"","doi":"10.1109/seia.2019.00008","DOIUrl":"https://doi.org/10.1109/seia.2019.00008","url":null,"abstract":"","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133795405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Title Page i","authors":"","doi":"10.1109/seia.2019.00001","DOIUrl":"https://doi.org/10.1109/seia.2019.00001","url":null,"abstract":"","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129325405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Bekele, Iris Groher, J. Sametinger, Tesfaye Biru, C. Floyd, G. Pomberger, P. Oppelt
{"title":"User-Centered Design in Developing Countries: A Case Study of a Sustainable Intercultural Healthcare Platform in Ethiopia","authors":"R. Bekele, Iris Groher, J. Sametinger, Tesfaye Biru, C. Floyd, G. Pomberger, P. Oppelt","doi":"10.1109/SEiA.2019.00010","DOIUrl":"https://doi.org/10.1109/SEiA.2019.00010","url":null,"abstract":"User-centered design (UCD) is a well-established development methodology that focuses during the whole design process on users^{prime} goals and context. This is especially important in soft-ware development projects in developing countries, where the development and use situations typically greatly diverge. We are currently conducting a joint research project pursuing technology-enabled maternal and child healthcare in rural areas of Ethiopia. In this paper, we report our findings and lessons learned from employing a UCD approach to address challenges stemming from lack of education, lack of training, and mostly illiterate users.","PeriodicalId":244936,"journal":{"name":"2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132032500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}