Wyniki wyszukiwania - BazTech

1

Predicting Aggregated User Satisfaction in Software Projects

Radliński Ł.

Foundations of Computing and Decision Sciences

|

2018

|

Vol. 43, No. 4

335--357

EN

User satisfaction is an important feature of software quality. However, it was rarely studied in software engineering literature. By enhancing earlier research this paper focuses on predicting user satisfaction with machine learning techniques using software development data from an extended ISBSG dataset. This study involved building, evaluating and comparing a total of 15,600 prediction schemes. Each scheme consists of a different combination of its components: manual feature preselection, handling missing values, outlier elimination, value normalization, automated feature selection, and a classifier. The research procedure involved a 10-fold cross-validation and separate testing, both repeated 10 times, to train and to evaluate each prediction scheme. Achieved level of accuracy for best performing schemes expressed by Matthews correlation coefficient was about 0.5 in the cross-validation and about 0.5–0.6 in the testing stage. The study identified the most accurate settings for components of prediction schemes.

2

Podejście zwinne a tradycyjne do projektów wytwarzania oprogramowania

Łabuda W.

Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki

|

2015

|

nr 13

57--87

PL

Artykuł stanowi próbę porównania podejścia tradycyjnego oraz zwinnego do projektów wytwarzania oprogramowania. Omówione zostały podstawowe pojęcia dotyczące kontekstu, w którym realizowane są projekty produkcji oprogramowania. Przedstawiono różnice pomiędzy tradycyjnym a zwinnym podejściem do projektów wytwarzania oprogramowania oraz krótko scharakteryzowano nowe metodyki zarządzania projektami wytwarzania oprogramowania. Następnie skupiono się na omówieniu podejścia adaptacyjnego do zarządzania projektami informatycznymi bazującego na Manifeście Agile. Scharakteryzowano zasady i praktyki oraz cykl życia projektu produkcji oprogramowania w podejściu adaptacyjnym. Artykuł zakończono omówieniem istoty podejścia zwinnego do zarządzania projektami wytwarzania oprogramowania na przykładzie metodyki ATERN.

EN

The article is an attempt to compare the traditional and agile approach to software development projects. In the introduction they discussed the basic concepts concerning the context in which the software development projects are being carried out. They presented the differences between the traditional and agile approach to software development projects and they briefly characterized the new software development project management methodologies. Next they focused on the adaptive approach for IT project management based on the Agile Manifesto. They characterized principles and practices as well as software development project life cycle for the adaptive (agile) approach. The article was finished with discussing the essence of the agile approach to software development projects management on the example of the ATERN methodology.

3

Preliminary evaluation of schemes for predicting use satisfaction with the ability of system to meet stated objectives

Radliński Ł.

Journal of Theoretical and Applied Computer Science

|

2015

|

Vol. 9, nr 2

32--50

EN

In software engineering literature two most commonly investigated targets for prediction are development effort and software quality. This study follows the methodological advances of these studies but focuses on predicting user satisfaction in software project. Specific outcome variable investigated in prediction is user satisfaction with the ability of system to meet stated objectives (MSO). A total number of 288 prediction schemes have been evaluated in the ability to predict MSO. These schemes have been built as different combinations of their components, i.e. feature pre-selection, elimination of missing values, automated feature selection, and a classifier. Two best performing schemes achieved the accuracy measured as Matthews correlation coefficient of 0.71 in test subset. These schemes involved W-LMT and W-SimpleLogistic classifiers. Significant differences have been observed between different classifiers and selected other components, depending on the dataset (validation or test). Discussed results may serve as guidelines to design a scheme to predict user satisfaction.

4

Defect inflow prediction in large software project

Staron M., Meding W.

e-Informatica Software Engineering Journal

|

2010

|

Vol. 4, nr 1

89--107

EN

Performance of software projects can be improved by providing predictions of various project pcharacteristics. The predictions warn managers with information about potential problems and provide them with the possibility to prevent or avoid problems. Large software projects are characterized by a large number of factors that impact the project performance, which makes predicting project characteristics difficult. This paper presents methods for constructing prediction models of trends in defect inflow in large software projects based on a small number of variables. We refer to these models as short-term prediction models and long-term prediction models. The short-term prediction models are used to predict the number of defects discovered in the code up to three weeks in advance, while the long-term prediction models provide the possibility of predicting the defect inflow for the whole project. The initial evaluation of these methods in a large software project at Ericsson shows that the models are sufficiently accurate and easy to deploy.