Task Allocation in Distributed Agile Software Development using Machine Learning Approach

William, P.; Kumar, Pardeep; Chhabra, Gurpreet Singh; Vengatesan, K.

doi:10.1109/centcon52345.2021.9688114

Cited by 42 publications

(5 citation statements)

References 10 publications

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“…A task allocation model based on supervised machine learning is proposed and implemented for DASD. According to the findings, it supports decision-making and is supportive in terms of task allocation [62].…”

Section: Modelsupporting

confidence: 57%

A Critique on Task Allocation Processes in Distributed Agile Software Development

Ijaz

Aslam

Alsanad

et al. 2022

Scientific Programming

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Distributed agile software development is implemented to tackle the increasing competition and changing requirements of the software industry. It inspires the development of emergent software applications and supports user satisfaction with fast delivery to market at low cost. Distributed software development presents a complex distributed team structure of the software industry having various workplaces. Distributed agile software development requires effective and well-organized decisions during task allocation. Task allocation is a challenging activity across the spectrum of committed software developers in a distributed environment. Effective task allocation under the pressure of achieving project objectives is a complex management problem in distributed agile software development. Task allocation process is proposed to support effective task allocation in distributed agile software development. Firstly, we identify different aspects of the task allocation context to explore the basic requirements of decision-making in DASD. Based on the information related to the identified aspects, different types of process activities are defined; those should be fulfilled to support the task allocation decisions. Task allocation process during software project planning requires comprehensive information about various factors that influence decision-making. The proposed task allocation process is evaluated based on the process activities. None of the current state-of-the-art research works focus on an approach for task allocation that completely fulfills all activities related to high-level processes or low-level processes. We fill this gap by identifying, classifying, sequencing, and proposing these activities that can be used to realize a methodical approach for a generic task allocation process in a distributed agile software development setup.

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Section: Modelsupporting

confidence: 57%

A Critique on Task Allocation Processes in Distributed Agile Software Development

Ijaz

Aslam

Alsanad

et al. 2022

Scientific Programming

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“…Research [12] proposes a modern multi-criteria approach to task allocation based on machine learning technologies. Despite advocating its applicability to flexible methodologies in the article, we anticipate that the approach can also be used in classical project management methodologies.…”

Section: Existing Solutions Reviewmentioning

confidence: 99%

Task execution flow management in the software development process under the minor change event

Kungurtsev,

Chorba

2023

HAIT

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In modern project management methodologies, insufficient attention is devoted to the process of promptly responding to minor changes during task execution, which necessitate adjustments to the priorities of ongoing tasks. The existing approaches are not sufficiently detailed for a fundamental reassessment of priorities while such changes significantly impact project execution. The available materials and approaches do not provide ready-made solutions. This article proposes a task planning model during project execution. The model comprises the following key elements: Executor, Task Set, Task Execution Progress, and Calculation of Task Execution Quality Indicators. The Executor element contains information for identifying the developer and allocating their working time. It is anticipated that under exceptional conditions, a portion of non-working time may be scheduled for task execution. The Task Set element represents planned temporal characteristics and the priority of each task. The Task Execution Progress element contains information about actual dates, hours, and durations of segments during which the task was executed. The calculations of task execution quality indicators enable obtaining operational information about the progress of specific projects and assessing the effectiveness of process management. Basic algorithms for managing task sequences have been developed. The “Addition of a New Task” algorithm implements a task queue based on priority and start and end dates. The “Task Priority Change” algorithm envisages the possible repositioning of a task, as well as cases of task transfer to another executor or rescheduling tasks during non-working hours. Additionally, algorithms for notification of critical planning changes for dependent tasks (“Notification of Critical Planning Change for Dependent Tasks”) and critical deprioritization of dependent tasks (“Notification of Critical Deprioritization for Dependent Tasks”) have been developed. The proposed model and algorithms allow for accommodating micro-changes in the project and responding to their occurrence. The validation of research results in a real project demonstrated the effectiveness of the proposed model and algorithms while concurrently revealing a certain range of open questions requiring further consideration. Future research directions include the classification of micro-change scenarios, analysis of possible scenarios for suspending the execution of current tasks, and the development of scenarios and algorithms for selecting executors.

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“…It is social insurance offices that are used across the globe in medical clinics and at home [18]. It can convey liquids both in medications and supplements, for example, torment reliever's chemotherapy medications, hormones or insulin, and anti-infection agents into a patient's body in any sums [19]. There are numerous kinds of siphons including insulin siphons, syringes, enormous volume, elastomeric, quiet controlled absence of pain (PCA), and enteral siphons [20].…”

Section: Existing Systemmentioning

confidence: 99%

“…WSNs may be used for a broad range of purposes. WSNs are commonly used for monitoring [33], tracking [34], and controlling [14]. A few of the specialised applications include territory inspection [38], item tracking [35], nuclear reactor control [36], fire detection [37], and traffic surveillance [29].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Arduino-based Robo Car with Bomb Detector

William¹

2022

JNACS

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The time has come to merge two different applications: espionage and explosives detection! With a camera attached to it, the Mini Spy Robot can spy on its surroundings. Using a Bluetooth module and a remote, the engines will be controlled by the transfers. Robots that can detect bombs and land mines on their route and be remotely controlled via Bluetooth are the goal of this project. The Warfield is suffocated by it. The remote control may be used to maneuver the robot in any direction. Detecting bombs is another use for the robot's construction. The framework is controlled by an Arduino. Thus, circuit complexity is lowered while the execution speed improves. When land mines or munitions are detected, the GSM module generates an alert. The Arduino board used in this work has been modified using the Embedded C programming language. The customer may remotely operate the Arduino military spying and bomb-detecting robot using a Bluetooth module.

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Task Allocation in Distributed Agile Software Development using Machine Learning Approach

Cited by 42 publications

References 10 publications

A Critique on Task Allocation Processes in Distributed Agile Software Development

A Critique on Task Allocation Processes in Distributed Agile Software Development

Task execution flow management in the software development process under the minor change event

Implementation of Arduino-based Robo Car with Bomb Detector

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