ACSE 2020 program

Dates: 16-17 September 2020

Day 1: 16 September 2020

Welcome & Introduction

09: 00 – 09: 05              Waweru Mwangi and Rimiru Richard

                                       Kenyan cultural performance

09:05   - 09:10             Chaudron, Bainomugisha and Hebig

09:10   - 09:20             Prof. Victoria Ngumi, Vice Chancellor, JKUAT

 

9:20 - 10:00         Keynote address

                Ernest Mwebaze, Google AI, Ghana and Sunbird AI

                Software Engineering in a machine learning world: Industry experience

Break

10:00 - 10:15

Session 1: Software Architecture and Design

Chairs: Michel Chaudron and Rashidah Kasauli

10:15         -  10:45  Lawrence Byson and Tiwonge Manda.

Software Architecture and Software Usability: A Comparison of Data Entry Form Designing Platforms

10:45         - 11:15 Daniel Ogenrwot, Joyce Nakatumba-Nabende and Michel R.V. Chaudron.

 Comparison of Occurrence of Design Smells in Desktop and Mobile Applications

11:15   - 11:45 Isaac Nyabisa Oteyo, Kennedy Kambona, Jesse Zaman, Wolfgang De Meuter and Elisa Gonzalez Boix.

Developing Smart Agriculture Applications: Experience Report

Lunch Break 

11:45   - 13:00

Session 2: Code Reviews, Requirements and Data Processing

Chairs: Rimiru Richard and Rashidah Kasauli

13:00   - 13:30 Leonard Peter Binamungu and Jimmy T Mbelwa. 

 An Empirical Distribution of Code Reviews in DHIS2 Repositories and the Impact of Code Reviews on the Popularity of DHIS2 Repositories on GitHub

13:30   - 14:00 Leah Mutanu, Khushi Gupta, Jeet Gohil, Dharmik Karania and Abdi Ali.

Integrating Non-Functional Requirements for Marginalized Users in the Design of IoT Systems

14:00   - 14:30 Lennah Etyang, Waweru Mwangi and Lawrence Nderu.

Parameter Settings Optimization in MapReduce Big Data processing using the MOPSO Algorithm

Break 

14:30 – 14:45

14:45 - 15:45 Session 3: Breakout Session ACM SIGSOFT focus note on SE in Africa

                                             Social interactions.

Chair: Regina Hebig

Day 2: 17 September 2020

09:00 – 09: 10 Local organisers

Session 4: Cloud Applications and E-Learning

Chairs: Dennis Mugambi and Rashidah Kasauli

09:15   - 09:45 Sofie Muriithi, Geoffrey Chemwa and George Okeyo.

Cloud-Based Business Continuity for Universities: Issues and Challenges

09:45   - 10:15 Kevin Gogo, Lawrence Nderu and Makau Mutua.

Context aware recommender systems and techniques in offering smart learning: A survey and future work

10:15   - 10:45 Dorcas Mwigereri,  Lawrence Nderu and  Tobias Mwalili.

A Multi-Feature Fusion Deep Convolutional Network based on A Coarse-Fine Structure for Cloud Detection

 

Break 

10:45 – 11:00

 

Session 5:  Machine Learning in Medical/Health Applications

Chair: Micheal Tuape and Michael Kimwele

11:00 – 11:30  Stephen Kiptoo, Leah Matanu and Lawrence Nderu. 

Automated Detection Of Cervical Pre-Cancerous Lesions Using Regional-Based Convolutional Neural Network

11:30 - 12:00  Peter Mwangi,  Lawrence Nderu and Dorcas Gicuku.

A Proposed Ensemble Model based on RUSBoost and a Cost-Sensitive Convolution Neural Network for Class Imbalance in Big Data Analytics

12:00 – 12:30  Henry Ngie,  Lawrence Nderu and Dorcas Mwigereri. 

Tree-based Regressor Ensemble Machine Learning for Covid-19 and Viral Infectious Diseases Daily Global Spread Prediction 

12:30-12:45 Closing Words: Organisers

Chair: Waweru Mwangi