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A Framework for Software Defect Prediction Using Ensemble Learning

Thesis Info

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Author

Umair Ali

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=333

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676721026571

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The development of high-quality software at lower cost has always been the main concern of the developers as well as of the users. Eliminating the defects in software at the initial development stage can increase quality and reduce the overall cost. Testing only those modules which are likely to be defective are helpful for development team to manage and use resources effectively. Many machine learning-based frameworks have been proposed for the prediction of software defects in initial development stage however accuracy evaluation of proposed techniques on benchmark datasets was lacked. In this research, we proposed a framework for the prediction of software defects using ensemble learning and feature selection techniques by using WEKA. The accuracy of the proposed model has been evaluated by using publicly available cleaned NASA datasets. Moreover, the results have been compared with the widely used advanced classification techniques. The Proposed framework consists of five stages. First stage is dealing with the extraction of relevant dataset. Second stage is dealing with variants of base classifiers and selection. The base classifiers include: ?Decision Tree (DT), K-nearest neighbor (kNN), Naive Bayes (NB), Random forest (RF) and Support Vector Machine (SVM)?. Pre-processing and feature selection have been done in third stage. In fourth stage, we used stacking technique to create an ensemble of the classifier-variants, which have performed well in third stage. Fifth stage deals with the results and performance evaluation by using different measures including: ?Precision, Recall, F-measure, Accuracy, MCC and ROC?.
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کلرک کا نغمہ محبت کا تنقیدی جائزہ

کلرک کا نغمہ محبت کا تنقیدی جائزہ
میرا جی کے سماجی شعور کااظہار ان کی کئی نظموں میں ہوا ہے۔ جہاں چھوٹے طبقوں سے ان کی واضح وابستگی کا اندازہ ہوتا ہے ان کی نظمم کلرک کانغمہ محبت اس کی بہترین مثال ہے۔
متوسط طبقے کی ذہنی عکاسی:
سب رات مری سپنوں میں گزر جاتی ہے اور میں سوچتا ہوں
پھر صبح کی دیوی آتی ہے
اپے بستر سے اٹھتا ہوںمنہ دھوتا ہوں
لایا تھا کل جو ڈبل روٹی
اس میں سے آدھی کھائی تھی
باقی جو بچی وہ میرا آج کا ناشتہ ہے
اس بندمیں جس طرح ایک متوسط طبقے کے شخص کی ذہنی عکاسی کی گئی ہے۔ وہ مشاہدے کی زیر کی دلیل ہے۔ متوسط طبقے کا یہ شخص کیسے ایسے سہانے خواب دیکھتا ہے لیکن حقیقت یہ ہے کہ رات کی بچی ہوئی روٹی کھا کر دفتر روانہ ہونا پڑتاہے۔ حقیقت اور سپنے کا یہ تضاد میر ا جی کے مشاہدے کی دلیل تو ہے ہی ‘ کلرک کے ساتھ ان کی وابستگی اور اس کے مسائل کو اسی کی سطح پر اتر کر سمجھنے کی ایک کوشش بھی ہے۔ اس نظم میں محرومیوں کا طویل سلسلہ ہے جن سے اس نظم کا مرکزی کردار گزرتاہے۔ ا? س پاس کی ا?سائشوں اور لوگوں کے اطمینان و سکون کو دیکھتا دفتر پہنچتا ہے۔ اور اپنے افسر کی فضول باتیں سنتا ہے۔ نظم کا اختتام ان سطروں پر ہوتا ہے۔
پل بھر کے لیے اپنے کمرے کو فائل لینے ا?تا ہوں
اور دل کی آگ سلگتی ہے میں بھی جو کوئی افسر ہوتا
اس شہر کی دھول اور گلیوں سے کچھ دورمرا گھر ہوتا
اور تو ہوتی
لیکن میں تو اک منشی ہوں تو اونچے گھر کی رانی ہے
یہ میری پریم کہانی ہے اور دھرت سے بھی پرانی ہے
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