مقایسه روش های طبقه بندی در تخمین تلاش توسعه نرم افزار

سامانه‌های پردازشی و ارتباطی چندرسانه‌ای هوشمند

مقاله 2، دوره 3، شماره 2 - شماره پیاپی 8، تیر 1401، صفحه 11-18   

نوع مقاله: مقاله پژوهشی

نویسندگان

صادق انصاری پور¹؛ تقی جاودانی گندمانی^{* 2}

¹دانشگاه عقیق، شاهین شهر، اصفهان

²عضو هیات علمی، دانشگاه شهرکرد

چکیده

نادرست بودن تخمین هزینه نرم افزار یکی از دلایل مهم ناامیدی متخصصان نرم افزار و محققان تخمین هزینه بوده است و علیرغم تلاش های فراوانی که برای بهبود آن انجام شده است اما هنوز هم دقت تخمین پایین است. عدم تجزیه و تحلیل مناسب در ابتدای شروع به کار پروژه و همچنین عدم به روز آن در حین انجام پروژه یکی از مهم ترین دلایل شکست پروژه ها محسوب می شود. اگر چه زمانی که یک پروژه‌ها بسته می‌شوند، بازخورد های آن ایجاد می‌شود، اما اگر تخمین‌ها و واقعیات ثبت‌شده با پروژه انجام‌شده به طور کامل مطابقت نداشته باشند، آنگاه نمی توان انتظار تخمین دقیقی را داشت. بنابراین جمع آورده داده های پروژه بر اساس ویژگی های مشخص امری ضروری است و در اینجاست که می توان به نقش پررنگ پروژه های انجام شده در گذشته و مجموعه داده هایی که می توان با استفاده از آنها ایجاد نمود پی برد. در این مطالعه سعی بر این است که به بررسی نقش روش های مختلف طبقه بندی در تخمین تلاش نرم افزار بپردازیم.

کلیدواژه‌ها

تخمین تلاش نرم افزار؛ داده کاوی؛ یادگیری ماشین؛ طبقه بندی؛ مهندسی نرم افزار

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