Statistical analysis of android apps : a study of lifecycle development patterns
العناوين الأخرى
تحليل أنماط دورة حياة تطبيقات الأندرويد
مقدم أطروحة جامعية
مشرف أطروحة جامعية
الجامعة
جامعة بيرزيت
الكلية
كلية الهندسة و التكنولوجيا
القسم الأكاديمي
دائرة هندسة أنظمة الحاسوب
دولة الجامعة
فلسطين (الضفة الغربية)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2018
الملخص الإنجليزي
Building robust Android apps is a non-trivial task that requires skilled developers to understand the different peculiarities of such apps.
However, among the Android developer community, a large fraction is considered to be novice and inexperienced developers.
One of the main peculiarities in Android app development is a lifecycle model.
A developer needs to have a deep understanding of the different lifecycle states and callback methods that an Android activity can go through during its runtime.
These callback methods are called by the system whenever the activity changes its state.
The developer on one hand needs to override these callback methods correctly to avoid app memory leaks and data loss.
Statistical analysis of software applications provides actionable insights and helps to understand how applications were really built.
Although there have been lots of studies focusing on analyzing of Android apps in the areas of testing, quality, design, privacy, and security; there are no studies focus on lifecycle development practices thus far.
In this thesis, 842 open-sourced Android apps containing 5577 activities were analyzed to explore and understand how Android developers actually comply with best practices regarding the activity lifecycle model.
A tool named Statistical Analysis of Android Lifecycle (SAALC) was developed that is capable to analyze Android activities and extracting valuable information about lifecycle callback methods usage.
The generated results show, which callback methods are mostly implemented, what they are implementing for, and the nature of code they contain.
More specifically, the results show an incorrect implementation of the callback methods and incorrect acquiring and releasing of a system’s resources.
The findings suggest that a relatively large fraction of Android developers who didn’t well understand the lifecycle model.
This research also compares the results obtained with best practices and state-of-theart.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
عدد الصفحات
156
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background.
Chapter Three : Literature review.
Chapter Four : Research methodology.
Chapter Five : Results.
Chapter Six : Discussion.
Chapter Seven : Conclusions.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hushiyah, Nurah. (2018). Statistical analysis of android apps : a study of lifecycle development patterns. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-836638
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hushiyah, Nurah. Statistical analysis of android apps : a study of lifecycle development patterns. (Master's theses Theses and Dissertations Master). Birzeit University. (2018).
https://search.emarefa.net/detail/BIM-836638
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hushiyah, Nurah. (2018). Statistical analysis of android apps : a study of lifecycle development patterns. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-836638
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-836638
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر